Business Rules Engine Python

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  business rules engine python: AI and Business Rule Engines for Excel Power Users Paul Browne, Alex Porcelli, 2023-03-31 A power-packed manual to enhance your decision-making with the application of Business Rules using KIE, Drools, Kogito, MS Excel, Power Automate, Office Script, and MS Forms Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesExplore the business rule tools by implementing real-world examples to write sophisticated rulesDiscover how decision services solve current business challenges using AICombine rules with workflows and scripting to deploy a cloud-based production environmentBook Description Microsoft Excel is widely adopted across diverse industries, but Excel Power Users often encounter limitations such as complex formulas, obscure business knowledge, and errors from using outdated sheets. They need a better enterprise-level solution, and this book introduces Business rules combined with the power of AI to tackle the limitations of Excel. This guide will give you a roadmap to link KIE (an industry-standard open-source application) to Microsoft's business process automation tools, such as Power Automate, Power Query, Office Script, Forms, VBA, Script Lab, and GitHub. You'll dive into the graphical Decision Modeling standard including decision tables, FEEL expressions, and advanced business rule editing and testing. By the end of the book, you'll be able to share your business knowledge as graphical models, deploy and execute these models in the cloud (with Azure and OpenShift), link them back to Excel, and then execute them as an end-to-end solution removing human intervention. You'll be equipped to solve your Excel queries and start using the next generation of Microsoft Office tools. What you will learnUse KIE and Drools decision services to write AI-based business rulesLink Business Rules to Excel using Power Query, Script Lab, Office Script, and VBABuild an end-to-end workflow with Microsoft Power Automate and Forms while integrating it with Excel and KogitoCollaborate on and deploy your decision models using OpenShift, Azure, and GitHubDiscover advanced editing using the graphical Decision Model Notation (DMN) and testing toolsUse Kogito to combine AI solutions with ExcelWho this book is for This book is for Excel power users, business users, and business analysts looking for a tool to capture their knowledge and deploy it as part of enterprise-grade systems. Working proficiency with MS Excel is required. Basic knowledge of web technologies and scripting would be an added advantage.
  business rules engine python: Python Web Programming Steve Holden, David M. Beazley, 2002 A Python community leader teaches professionals how to integrate web applications with Python.
  business rules engine python: arc42 by Example Dr. Gernot Starke, Michael Simons, Stefan Zörner, Ralf D. Müller, 2019-10-07 Document the architecture of your software easily with this highly practical, open-source template. Key FeaturesGet to grips with leveraging the features of arc42 to create insightful documentsLearn the concepts of software architecture documentation through real-world examplesDiscover techniques to create compact, helpful, and easy-to-read documentationBook Description When developers document the architecture of their systems, they often invent their own specific ways of articulating structures, designs, concepts, and decisions. What they need is a template that enables simple and efficient software architecture documentation. arc42 by Example shows how it's done through several real-world examples. Each example in the book, whether it is a chess engine, a huge CRM system, or a cool web system, starts with a brief description of the problem domain and the quality requirements. Then, you'll discover the system context with all the external interfaces. You'll dive into an overview of the solution strategy to implement the building blocks and runtime scenarios. The later chapters also explain various cross-cutting concerns and how they affect other aspects of a program. What you will learnUtilize arc42 to document a system's physical infrastructureLearn how to identify a system's scope and boundariesBreak a system down into building blocks and illustrate the relationships between themDiscover how to describe the runtime behavior of a systemKnow how to document design decisions and their reasonsExplore the risks and technical debt of your systemWho this book is for This book is for software developers and solutions architects who are looking for an easy, open-source tool to document their systems. It is a useful reference for those who are already using arc42. If you are new to arc42, this book is a great learning resource. For those of you who want to write better technical documentation will benefit from the general concepts covered in this book.
  business rules engine python: Machine Learning with Business Rules on IBM Z: Acting on Your Insights Mike Johnson, Chris Backhouse, Stéphane Faure, David Griffiths, Yann Kindelberger, Ke Wei Wei, Hao Zhang, IBM Redbooks, 2019-12-11 This Redpaper introduces the integration between two IBM products that you might like to consider when implementing a modern agile solution on your Z systems. The document briefly introduces Operational Decision Manager on z/OS and Machine learning on z/OS. In the case of Machine Learning we focus on the aspect of real-time scoring models and how these can be used with Business Rules to give better decisions. Note: Important changes since this document was written: This document was written for an older release of Operational Decision Manager for z/OS (ODM for z/OS). ODM for z/OS 8.9.1 required the writing of custom Java code to access a Watson Machine Learning for z/OS Scoring Service (this can be seen in ). Since that time ODM for z/OS version 8.10.1 has been released and much improves the integration experience. Integrating the two products no longer requires custom Java code. Using ODM for z/OS 8.10.1 or later you can use an automated wizard in the ODM tooling to: Browse and select a model from Watson Machine Learning Import the Machine Learning data model into your rule project Automatically generate a template rule that integrates a call to the Watson Machine Learning scoring service Download and read this document for: Individual introductions to ODM for z/OS and Machine learning Discussions on the benefits of using the two technologies together Information on integrating if you have not yet updated to ODM for z/OS 8.10.1 For information about the machine learning integration in ODM for z/OS 8.10.1 see IBM Watson Machine Learning for z/OS integration topic in the ODM for z/OS 8.10.x Knowledge Center
  business rules engine python: Supervised Machine Learning with Python Taylor Smith, 2019-05-27 Teach your machine to think for itself! Key FeaturesDelve into supervised learning and grasp how a machine learns from dataImplement popular machine learning algorithms from scratch, developing a deep understanding along the wayExplore some of the most popular scientific and mathematical libraries in the Python languageBook Description Supervised machine learning is used in a wide range of sectors (such as finance, online advertising, and analytics) because it allows you to train your system to make pricing predictions, campaign adjustments, customer recommendations, and much more while the system self-adjusts and makes decisions on its own. As a result, it's crucial to know how a machine “learns” under the hood. This book will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way. You’ll embark on this journey with a quick overview and see how supervised machine learning differs from unsupervised learning. Next, we explore parametric models such as linear and logistic regression, non-parametric methods such as decision trees, and various clustering techniques to facilitate decision-making and predictions. As we proceed, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you’ll wrap up with a brief foray into neural networks and transfer learning. By the end of this book, you’ll be equipped with hands-on techniques and will have gained the practical know-how you need to quickly and powerfully apply algorithms to new problems. What you will learnCrack how a machine learns a concept and generalize its understanding to new dataUncover the fundamental differences between parametric and non-parametric modelsImplement and grok several well-known supervised learning algorithms from scratchWork with models in domains such as ecommerce and marketingExpand your expertise and use various algorithms such as regression, decision trees, and clusteringBuild your own models capable of making predictionsDelve into the most popular approaches in deep learning such as transfer learning and neural networksWho this book is for This book is for aspiring machine learning developers who want to get started with supervised learning. Intermediate knowledge of Python programming—and some fundamental knowledge of supervised learning—are expected.
  business rules engine python: New Trends in Software Methodologies, Tools and Techniques Hamido Fujita, Roberto Revetria, 2012 Software is the essential enabling means for science and the new economy. It helps us to create a more reliable, flexible and robust society. But software often falls short of our expectations. Current methodologies, tools, and techniques remain expensive and are not yet sufficiently reliable, while many promising approaches have proved to be no more than case-by-case oriented methods. This book contains extensively reviewed papers from the eleventh International Conference on New Trends in software Methodology, Tools and Techniques (SoMeT_12), held in Genoa, Italy, in September 2012. The conference provides an opportunity for scholars from the international research community to discuss and share research experiences of new software methodologies and techniques, and the contributions presented here address issues ranging from research practices and techniques and methodologies to proposing and reporting solutions for global world business. The emphasis has been on human-centric software methodologies, end-user development techniques and emotional reasoning, for an optimally harmonized performance between the design tool and the user.Topics covered include the handling of cognitive issues in software development to adapt it to the user's mental state and intelligent software design in software utilizing new aspects on conceptual ontology and semantics reflected on knowledge base system models. This book provides an opportunity for the software science community to show where we are today and where the future may take us.
  business rules engine python: High Performance Python Micha Gorelick, Ian Ozsvald, 2020-04-30 Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters Deploy code faster using tools like Docker
  business rules engine python: Modeling with Rules Using Semantic Knowledge Engineering Grzegorz J. Nalepa, 2017-10-04 This book proposes a consistent methodology for building intelligent systems. It puts forward several formal models for designing and implementing rules-based systems, and presents illustrative case studies of their applications. These include software engineering, business process systems, Semantic Web, and context-aware systems on mobile devices. Rules offer an intuitive yet powerful method for representing human knowledge, and intelligent systems based on rules have many important applications. However, their practical development requires proper techniques and models - a gap that this book effectively addresses.
  business rules engine python: Hands-On Penetration Testing with Python Furqan Khan, 2019-01-31 Implement defensive techniques in your ecosystem successfully with Python Key FeaturesIdentify and expose vulnerabilities in your infrastructure with PythonLearn custom exploit development .Make robust and powerful cybersecurity tools with PythonBook Description With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits. What you will learnGet to grips with Custom vulnerability scanner developmentFamiliarize yourself with web application scanning automation and exploit developmentWalk through day-to-day cybersecurity scenarios that can be automated with PythonDiscover enterprise-or organization-specific use cases and threat-hunting automationUnderstand reverse engineering, fuzzing, buffer overflows , key-logger development, and exploit development for buffer overflows.Understand web scraping in Python and use it for processing web responsesExplore Security Operations Centre (SOC) use casesGet to understand Data Science, Python, and cybersecurity all under one hoodWho this book is for If you are a security consultant , developer or a cyber security enthusiast with little or no knowledge of Python and want in-depth insight into how the pen-testing ecosystem and python combine to create offensive tools , exploits , automate cyber security use-cases and much more then this book is for you. Hands-On Penetration Testing with Python guides you through the advanced uses of Python for cybersecurity and pen-testing, helping you to better understand security loopholes within your infrastructure .
  business rules engine python: Streaming Architecture Ted Dunning, Ellen Friedman, 2016-05-10 More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm. Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases. Ideal for developers and non-technical people alike, this book describes: Key elements in good design for streaming analytics, focusing on the essential characteristics of the messaging layer New messaging technologies, including Apache Kafka and MapR Streams, with links to sample code Technology choices for streaming analytics: Apache Spark Streaming, Apache Flink, Apache Storm, and Apache Apex How stream-based architectures are helpful to support microservices Specific use cases such as fraud detection and geo-distributed data streams Ted Dunning is Chief Applications Architect at MapR Technologies, and active in the open source community. He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. Ted is on Twitter as @ted_dunning. Ellen Friedman, a committer for the Apache Drill and Apache Mahout projects, is a solutions consultant and well-known speaker and author, currently writing mainly about big data topics. With a PhD in Biochemistry, she has years of experience as a research scientist and has written about a variety of technical topics. Ellen is on Twitter as @Ellen_Friedman.
  business rules engine python: Data Analysis with Python David Taieb, 2018-12-31 Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis. Key FeaturesBridge your data analysis with the power of programming, complex algorithms, and AIUse Python and its extensive libraries to power your way to new levels of data insightWork with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time seriesExplore this modern approach across with key industry case studies and hands-on projectsBook Description Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects. Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you’re likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence. What you will learnA new toolset that has been carefully crafted to meet for your data analysis challengesFull and detailed case studies of the toolset across several of today’s key industry contextsBecome super productive with a new toolset across Python and Jupyter NotebookLook into the future of data science and which directions to develop your skills nextWho this book is for This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.
  business rules engine python: How AI Works Ronald T. Kneusel, 2023-10-24 AI isn’t magic. How AI Works demystifies the explosion of artificial intelligence by explaining—without a single mathematical equation—what happened, when it happened, why it happened, how it happened, and what AI is actually doing under the hood. Artificial intelligence is everywhere—from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT—yet few people seem to know how it all really works. How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon. You’ll learn: The relationship between artificial intelligence, machine learning, and deep learning The history behind AI and why the artificial intelligence revolution is happening now How decades of work in symbolic AI failed and opened the door for the emergence of neural networks What neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number. The implications of large language models, like ChatGPT and Bard, on our society—nothing will be the same again AI isn’t magic. If you’ve ever wondered how it works, what it can do, or why there’s so much hype, How AI Works will teach you everything you want to know.
  business rules engine python: Software Services for e-Business and e-Society Claude Godart, Norbert Gronau, Sushil Sharma, Gérôme Canals, 2009-09-09 I3E 2009 was held in Nancy, France, during September 23–25, hosted by Nancy University and INRIA Grand-Est at LORIA. The conference provided scientists andpractitionersofacademia,industryandgovernmentwithaforumwherethey presented their latest ?ndings concerning application of e-business, e-services and e-society, and the underlying technology to support these applications. The 9th IFIP Conference on e-Business, e-Services and e-Society, sponsored by IFIP WG 6.1. of Technical Committees TC6 in cooperation with TC11, and TC8 represents the continuation of previous events held in Zurich (Switzerland) in 2001, Lisbon (Portugal) in 2002, Sao Paulo (Brazil) in 2003, Toulouse (France) in 2004, Poznan (Poland) in 2005, Turku (Finland) in 2006, Wuhan (China) in 2007 and Tokyo (Japan) in 2008. The call for papers attracted papers from 31 countries from the ?ve con- nents. As a result, the I3E 2009 programo?ered 12 sessions of full-paper pres- tations. The 31 selected papers cover a wide and important variety of issues in e-Business,e-servicesande-society,including security,trust,andprivacy,ethical and societal issues, business organization, provision of services as software and software as services, and others. Extended versions of selected papers submitted to I3E 2009 will be published in the International Journal of e-Adoption and in AIS Transactions on Enterprise Systems. In addition, a 500-euros prize was awarded to the authors of the best paper selected by the Program Comm- tee. We thank all authors who submitted their papers, the Program Committee members and external reviewers for their excellent work.
  business rules engine python: Business Process Management Workshops Fabiana Fournier, Jan Mendling, 2015-04-11 This book constitutes the refereed proceedings of ten international workshops held in Eindhoven, The Netherlands, in conjunction with the 12th International Conference on Business Process Management, BPM 2014, in September 2014. The ten workshops comprised Process-oriented Information Systems in Healthcare (ProHealth 2014), Security in Business Processes (SBP 2014), Process Model Collections: Management and Reuse (PMC-MR 2014), Business Processes in Collective Adaptive Systems (BPCAS 2014), Data- and Artifact-centric BPM (DAB 2014), Business Process Intelligence (BPI 2014), Business Process Management in the Cloud (BPMC 2014), Theory and Applications of Process Visualization (TaProViz 2014), Business Process Management and Social Software (BPMS2 2014) and Decision Mining and Modeling for Business Processes (DeMiMoP 2014). The 38 revised full and eight short papers presented were carefully reviewed and selected from 84 submissions. In addition, six short papers resulting from the Doctoral Consortium at BPM 2014 are included in this book.
  business rules engine python: The Cloud Security Ecosystem Raymond Choo, Ryan Ko, 2015-06-01 Drawing upon the expertise of world-renowned researchers and experts, The Cloud Security Ecosystem comprehensively discusses a range of cloud security topics from multi-disciplinary and international perspectives, aligning technical security implementations with the most recent developments in business, legal, and international environments. The book holistically discusses key research and policy advances in cloud security – putting technical and management issues together with an in-depth treaties on a multi-disciplinary and international subject. The book features contributions from key thought leaders and top researchers in the technical, legal, and business and management aspects of cloud security. The authors present the leading edge of cloud security research, covering the relationships between differing disciplines and discussing implementation and legal challenges in planning, executing, and using cloud security. - Presents the most current and leading-edge research on cloud security from a multi-disciplinary standpoint, featuring a panel of top experts in the field - Focuses on the technical, legal, and business management issues involved in implementing effective cloud security, including case examples - Covers key technical topics, including cloud trust protocols, cryptographic deployment and key management, mobile devices and BYOD security management, auditability and accountability, emergency and incident response, as well as cloud forensics - Includes coverage of management and legal issues such as cloud data governance, mitigation and liability of international cloud deployment, legal boundaries, risk management, cloud information security management plans, economics of cloud security, and standardization efforts
  business rules engine python: Object-Oriented Analysis and Design for Information Systems Raul Sidnei Wazlawick, 2024-03-16 Object-Oriented Analysis and Design for Information Systems, Second Edition clearly explains real object-oriented programming in practice. Expert author Raul Sidnei Wazlawick explains concepts such as object responsibility, visibility, and the real need for delegation in detail. The object-oriented code generated by using these concepts in a systematic way is concise, organized and reusable.The patterns and solutions presented in this book are based in research and industrial applications. You will come away with clarity regarding processes and use cases and a clear understanding of how to expand a use case. Wazlawick clearly explains how to build meaningful sequence diagrams. Object-Oriented Analysis and Design for Information Systems illustrates how and why building a class model is not just placing classes into a diagram. You will learn the necessary organizational patterns so that your software architecture will be maintainable. The Second Edition includes all new content shifting the focus of the book to agile software development, including Scrum software project management, BPMN diagrams, user stories, and Python code examples. - Provides updates on how to build better class models, which are more maintainable and understandable - Explains how to write use cases in a more efficient and standardized way, using more effective and less complex diagrams - Updates on how to build true object-oriented code with division of responsibility and delegation - Covers contemporary themes such as agile methodologies and BPMN (Business Process Modeling and Notation)
  business rules engine python: Architecture Patterns with Python Harry Percival, Bob Gregory, 2020-03-05 As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include: Dependency inversion and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design’s distinction between Entities, Value Objects, and Aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command-query responsibility segregation (CQRS) Event-driven architecture and reactive microservices
  business rules engine python: Computerworld , 2006-01-02 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
  business rules engine python: IoT Data Analytics using Python M S Hariharan, 2023-10-23 Harness the power of Python to analyze your IoT data KEY FEATURES ● Learn how to build an IoT Data Analytics infrastructure. ● Explore advanced techniques for IoT Data Analysis with Python. ● Gain hands-on experience applying IoT Data Analytics to real-world situations. DESCRIPTION Python is a popular programming language for data analytics, and it is also well-suited for IoT Data Analytics. By leveraging Python's versatility and its rich ecosystem of libraries and tools, Data Analytics for IoT can unlock valuable insights, enable predictive capabilities, and optimize decision-making in various IoT applications and domains. The book begins with a foundation in IoT fundamentals, its role in digital transformation, and why Python is the preferred language for IoT Data Analytics. It then covers essential data analytics concepts, how to establish an IoT Data Analytics environment, and how to design and manage real-time IoT data flows. Next, the book discusses how to implement Descriptive Analytics with Pandas, Time Series Forecasting with Python libraries, and Monitoring, Preventive Maintenance, Optimization, Text Mining, and Automation strategies. It also introduces Edge Computing and Analytics, discusses Continuous and Adaptive Learning concepts, and explores data flow and use cases for Edge Analytics. Finally, the book concludes with a chapter on IoT Data Analytics for self-driving cars, using the CRISP-DM framework for data collection, modeling, and deployment. By the end of the book, you will be equipped with the skills and knowledge needed to extract valuable insights from IoT data and build real-world applications. WHAT YOU WILL LEARN ● Explore the essentials of IoT Data Analytics and the Industry 4.0 revolution. ● Learn how to set up the IoT Data Analytics environment. ● Equip Python developers with data analysis foundations. ● Learn to build data lakes for real-time IoT data streaming. ● Learn to deploy machine learning models on edge devices. ● Understand Edge Computing with MicroPython for efficient IoT Data Analytics. WHO THIS BOOK IS FOR If you are an experienced Python developer who wants to master IoT Data Analytics, or a newcomer who wants to learn Python and its applications in IoT, this book will give you a thorough understanding of IoT Data Analytics and practical skills for real-world use cases. TABLE OF CONTENTS 1. Necessity of Analytics Across IoT 2. Up and Running with Data Analytics Fundamentals 3. Setting Up IoT Analytics Environment 4. Managing Data Pipeline and Cleaning 5. Designing Data Lake and Executing Data Transformation 6. Implementing Descriptive Analytics Using Pandas 7. Time Series Forecasting and Predictions 8. Monitoring and Preventive Maintenance 9. Model Deployment on Edge Devices 10. Understanding Edge Computing with MicroPython 11. IoT Analytics for Self-driving Vehicles
  business rules engine python: Optimization Theory Based on Neutrosophic and Plithogenic Sets Florentin Smarandache, Mohamed Abdel-Basset, 2020-01-14 Optimization Theory Based on Neutrosophic and Plithogenic Sets presents the state-of-the-art research on neutrosophic and plithogenic theories and their applications in various optimization fields. Its table of contents covers new concepts, methods, algorithms, modelling, and applications of green supply chain, inventory control problems, assignment problems, transportation problem, nonlinear problems and new information related to optimization for the topic from the theoretical and applied viewpoints in neutrosophic sets and logic. - All essential topics about neutrosophic optimization and Plithogenic sets make this volume the only single source of comprehensive information - New and innovative theories help researchers solve problems under diverse optimization environments - Varied applications address practitioner fields such as computational intelligence, image processing, medical diagnosis, fault diagnosis, and optimization design
  business rules engine python: Principles of the Business Rule Approach Ronald G. Ross, 2003 The idea of Business Rules has been around for a while. Simply put, a Business Rule is a statement that defines or constrains some aspect of the business. In practice they are meant to reduce or eliminate the delays, waste, and frustration associated with the IT department having to be involved with almost every action affecting an organization's information systems. The advent of Web services has created renewed interest in them. There are now several well established rules-based products that have demonstrated the effectiveness of their use. But until now there has not been a definitive guide to Business Rules. Ron Ross, considered to be the father of Business Rules, will help organizations apply this powerful solution to their own computer system problems. This book is intended to be the first book that anyone from an IT manager to a business manager will read to understand what Business Rules are, and what how they can be applied to their own situation.
  business rules engine python: Obtaining Value from Big Data for Service Delivery Stephen H. Kaisler, Frank Amour, J. Alberto Espinosa, William H. Money, 2015-12-21 Big data is an emerging phenomenon that has enormous implications and impacts upon business strategy, profitability, and process improvements. All service systems generate big data these days, especially human-centered service systems. It has been characterized as the collection, analysis and use of data characterized by the five Vs: volume, velocity, variety, veracity, and value (of data). This booklet will help middle, senior, and executive managers to understand what big data is; how to recognize, collect, process, and analyze it; how to store and manage it; how to obtain useful information from it; and how to assess its contribution to operational, tactical, and strategic decision-making in service-oriented organizations.
  business rules engine python: Machine Learning for Algorithmic Trading Stefan Jansen, 2020-07-31 Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
  business rules engine python: TypeScript Microservices Parth Ghiya, 2018-05-30 Build robust microservice-based applications that are distributed, fault tolerant, and always available Key Features Learn to build message-driven services for effective communication Design microservices API using Reactive programming design patterns Deploy, scale and monitor microservices for consistent high performance Book Description In the last few years or so, microservices have achieved the rock star status and right now are one of the most tangible solutions in enterprises to make quick, effective, and scalable applications. The apparent rise of Typescript and long evolution from ES5 to ES6 has seen lots of big companies move to ES6 stack. If you want to learn how to leverage the power of microservices to build robust architecture using reactive programming and Typescript in Node.js, then this book is for you. Typescript Microservices is an end-to-end guide that shows you the implementation of microservices from scratch; right from starting the project to hardening and securing your services. We will begin with a brief introduction to microservices before learning to break your monolith applications into microservices. From here, you will learn reactive programming patterns and how to build APIs for microservices. The next set of topics will take you through the microservice architecture with TypeScript and communication between services. Further, you will learn to test and deploy your TypeScript microservices using the latest tools and implement continuous integration. Finally, you will learn to secure and harden your microservice. By the end of the book, you will be able to build production-ready, scalable, and maintainable microservices using Node.js and Typescript. What you will learn Get acquainted with the fundamentals behind microservices. Explore the behavioral changes needed for moving from monolithic to microservices. Dive into reactive programming, Typescript and Node.js to learn its fundamentals in microservices Understand and design a service gateway and service registry for your microservices. Maintain the state of microservice and handle dependencies. Perfect your microservice with unit testing and Integration testing Develop a microservice, secure it, deploy it, and then scale it Who this book is for This book is for JavaScript developers seeking to utilize their Node.js and Typescript skills to build microservices and move away from the monolithic architecture. Prior knowledge of TypeScript and Node.js is assumed.
  business rules engine python: Dr. Dobb's Journal , 2006
  business rules engine python: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
  business rules engine python: Building an Effective IoT Ecosystem for Your Business Sudhi R. Sinha, Youngchoon Park, 2017-07-20 This descriptive, practical guide explains how to build a commercially impactful, operationally effective and technically robust IoT ecosystem that takes advantage of the IoT revolution and drives business growth in the consumer IoT as well as industrial internet spaces. With this book, executives, business managers, developers and decision-makers are given the tools to make more informed decisions about IoT solution development, partner eco-system design, and the monetization of products and services. Security and privacy issues are also addressed. Readers will explore the design guidelines and technology choices required to build commercially viable IoT solutions, but also uncover the various monetization and business modeling for connected products.
  business rules engine python: Jess in Action Ernest Friedman-Hill, 2003-06-01 Jess in Action first introduces rule programming concepts and teaches you the Jess language. Armed with this knowledge, you then progress through a series of fully-developed applications chosen to expose you to practical rule-based development. The book shows you how you can add power and intelligence to your Java software.
  business rules engine python: How to Build a Business Rules Engine Malcolm Chisholm, 2004 Demonstrating how to develop a business rules engine, this guide covers user requirements, data modelling, metadata and more. A sample application is used throughout the book to illustrate concepts. The text includes conceptual overview chapters suitable for management-level readers, including a general introduction, business justification, development and implementation considerations and more. Demonstrating how to develop a business rules engine, this guide covers user requirements, data modelling and metadata. It includes conceptual overview chapters suitable for management-level readers, a general introduction, business justification, development and implementation considerations.
  business rules engine python: Semantic Web Technologies Archana Patel, Narayan C. Debnath, Bharat Bhushan, 2022-10-17 Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book: Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.
  business rules engine python: The Pragmatic Programmer Andrew Hunt, David Thomas, 1999-10-20 What others in the trenches say about The Pragmatic Programmer... “The cool thing about this book is that it’s great for keeping the programming process fresh. The book helps you to continue to grow and clearly comes from people who have been there.” — Kent Beck, author of Extreme Programming Explained: Embrace Change “I found this book to be a great mix of solid advice and wonderful analogies!” — Martin Fowler, author of Refactoring and UML Distilled “I would buy a copy, read it twice, then tell all my colleagues to run out and grab a copy. This is a book I would never loan because I would worry about it being lost.” — Kevin Ruland, Management Science, MSG-Logistics “The wisdom and practical experience of the authors is obvious. The topics presented are relevant and useful.... By far its greatest strength for me has been the outstanding analogies—tracer bullets, broken windows, and the fabulous helicopter-based explanation of the need for orthogonality, especially in a crisis situation. I have little doubt that this book will eventually become an excellent source of useful information for journeymen programmers and expert mentors alike.” — John Lakos, author of Large-Scale C++ Software Design “This is the sort of book I will buy a dozen copies of when it comes out so I can give it to my clients.” — Eric Vought, Software Engineer “Most modern books on software development fail to cover the basics of what makes a great software developer, instead spending their time on syntax or technology where in reality the greatest leverage possible for any software team is in having talented developers who really know their craft well. An excellent book.” — Pete McBreen, Independent Consultant “Since reading this book, I have implemented many of the practical suggestions and tips it contains. Across the board, they have saved my company time and money while helping me get my job done quicker! This should be a desktop reference for everyone who works with code for a living.” — Jared Richardson, Senior Software Developer, iRenaissance, Inc. “I would like to see this issued to every new employee at my company....” — Chris Cleeland, Senior Software Engineer, Object Computing, Inc. “If I’m putting together a project, it’s the authors of this book that I want. . . . And failing that I’d settle for people who’ve read their book.” — Ward Cunningham Straight from the programming trenches, The Pragmatic Programmer cuts through the increasing specialization and technicalities of modern software development to examine the core process--taking a requirement and producing working, maintainable code that delights its users. It covers topics ranging from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and you'll learn how to Fight software rot; Avoid the trap of duplicating knowledge; Write flexible, dynamic, and adaptable code; Avoid programming by coincidence; Bullet-proof your code with contracts, assertions, and exceptions; Capture real requirements; Test ruthlessly and effectively; Delight your users; Build teams of pragmatic programmers; and Make your developments more precise with automation. Written as a series of self-contained sections and filled with entertaining anecdotes, thoughtful examples, and interesting analogies, The Pragmatic Programmer illustrates the best practices and major pitfalls of many different aspects of software development. Whether you're a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you'll quickly see improvements in personal productivity, accuracy, and job satisfaction. You'll learn skills and develop habits and attitudes that form the foundation for long-term success in your career. You'll become a Pragmatic Programmer.
  business rules engine python: Computer Programming And Software Development: 9 Books In 1 Richie Miller, 2023 If you want to discover how to become a software developer using C#, Python, Angular, or JavaScript, this book is for you! 9 BOOKS IN 1 DEAL! · BOOK 1: ANGULAR FRAMEWORK ESSENTIALS - OPEN SOURCE WEB APP DEVELOPMENT USING ANGULAR & TYPESCRIPT · BOOK 2: PYTHON MACHINE LEARNING - ALGORITHM DESIGN & PRACTICAL CODE EXECUTION · BOOK 3: REACT JAVASCRIPT VULNERABILITIES - CONSTRUCTING SECURE REACTJS CODE · BOOK 4: C# CODING SYNTAX - C SHARP SOFTWARE DEVELOPMENT FUNDAMENTALS · BOOK 5: C# PROGRAMMING BASICS - WRITE, RUN, AND DEBUG CONSOLE APPLICATIONS · BOOK 6: C# CODING FUNDAMENTALS - CONTROL FLOW STATEMENTS AND EXPRESSIONS · BOOK 7: C# TYPE CLASS FUNDAMENTALS - BUILT-IN DATA TYPES, CLASSES, INTERFACES, AND INHERITANCE · BOOK 8: C# PROGRAMMING - EXPLICIT INTERFACE IMPLEMENTATION · BOOK 9: C# GENERICS - PERFORMANCE AND TYPE SAFETY BUY THIS BOOK NOW AND GET STARTED TODAY!
  business rules engine python: Odoo 15 Development Essentials Daniel Reis, Greg Mader, 2022-02-25 Become a proficient Odoo developer and increase your productivity while building Odoo business applications Key FeaturesSet up the Odoo development environment and learn how to test and debug your codeUse the ORM framework to work with data and implement business logic supporting business rulesDesign user interfaces, web pages, and business reports using the Odoo framework's web componentsBook Description Odoo is fast becoming the reference open source platform for business applications thanks to the fact that it provides the infrastructure needed for developers to deliver software solutions for any business process quickly. Odoo's layered module approach makes it particularly effective for combining and extending features. This updated fifth edition is a tutorial-style introduction to essential Odoo development topics. The book starts by covering the development essentials for building business applications and takes you through Odoo installation and configuration, gradually transitioning from having no specific knowledge of Odoo to being ready for application development. You'll then learn how to develop your first Odoo application, while covering topics such as models and views. Later chapters will get you up to speed with using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress, you'll get equipped to build and customize your applications and explore the new features available in Odoo 12 and beyond, such as in-memory ORM and computed writable fields. Finally, you'll gain insights into building business logic and using the Odoo API to integrate with various applications. By the end of this book, you'll be able to build business apps from scratch using the latest version of Odoo. What you will learnInstall Odoo from source and organize the development environmentCreate your first Odoo app from scratchUnderstand the application components available in OdooStructure the application's data model using ORM featuresUse the ORM API to implement the business logic layerDesign a graphical user interface (GUI) for the web client and websiteUse the Odoo External API to interface with external systemsDeploy and maintain your application in production environmentsWho this book is for This book is for developers who want to learn Odoo application development and quickly become productive while creating business applications. Teachers, trainers, and Odoo team managers will also find the book useful for helping their students or trainees to learn Odoo development skills. Basic knowledge of Python programming is required to get started with the book
  business rules engine python: Advanced Software and Control for Astronomy Hilton Lewis, Alan Bridger, 2006 Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
  business rules engine python: Technology and Security for Lawyers and Other Professionals W. Kuan Hon, 2024-06-05 Technology proficiency is now a necessity for most professionals. In this very practical book, W. Kuan Hon presents a comprehensive foundational guide to technology and cybersecurity for lawyers and other non-technologists seeking a solid grounding in key tech topics. Adopting a multidisciplinary approach, elucidating the high-level basics then going a step beyond, Hon clearly explains core technical computing subjects: hardware/software, computing models/APIs, data storage/databases, programming, networking including Internet/web, email and mobile, and AI/machine learning including LLMs, detailing cybersecurity essentials and flagging various security/privacy-related issues throughout.
  business rules engine python: Rules and Rule Markup Languages for the Semantic Web Asaf Adi, Suzette Stoutenburg, Said Tabet, 2005-11-04 RuleML 2005 was the ?rst international conference on rules and rule markup languages for the Semantic Web, held in conjunction with the International Semantic Web C- ference (ISWC) at Galway, Ireland. With the success of the RuleML workshop series came the need for extended research and applications topics organized in a conference format. RuleML 2005 also accommodated the ?rst Workshop on OWL: Experiences and Directions. Rules are widely recognized to be a major part of the frontier of the Semantic Web, and critical to the early adoption and applications of knowledge-based techniques in- business, especially enterprise integration and B2B e-commerce. This includes kno- edge representation (KR) theory and algorithms; markup languages based on such KR; engines, translators, and other tools; relationships to standardization efforts; and, not least, applications. Interest and activity in the area of rules for the Semantic Web has grown rapidly over the last ?ve years. The RuleML 2005 Conference was aimed to be this year’s premiere scienti?c conference on the topic. It continued in topic, leadership, and collaboration with the previous series of three highly successful annual inter- tional workshops (RuleML 2004, RuleML 2003 and RuleML 2002). The theme for RuleML 2005 was rule languages for reactive and proactive rules, complex event p- cessing, and event-driven rules, to support the emergence of Semantic Web applications. Special highlights of the RuleML 2005 conference included the keynote address by Sir Tim Berners- Lee, Director of W3C.
  business rules engine python: IronPython in Action Michael J. Foord, 2009 A comprehensive, hands-on introduction to Microsoft's version of Python for the .NET framework. The book shows how to use IronPython with C♯, VB.NET, and ASP.NET applications. Readers will use IronPython as a Windows scripting tool, and see how it connects to PowerShell.
  business rules engine python: Rules and Rule Markup Languages for the Semantic Web Michael Schroeder, Gerd Wagner, 2003-10-09 RuleML 2003 was the second international workshop on rules and rule markup languages for the Semantic Web, held in conjunction with the International Semantic Web Conference (ISWC). The aim of the RuleML workshop series is to stimulate research on all issues related to web rule languages and to provide an annual forum for presenting and discussing new research results. The Semantic Web is a major world-wide endeavor to advance the Web by enriching its multimedia document content with propositional information that can be processed by inference-enabled Web applications. Rules and rule markup languages, such as RuleML, will play an important role in the success of the Semantic Web. Rules will act as a means to draw inferences, to express constraints,tospecifypoliciesforreactingtoevents,totransformdata,etc.Rule markup languages will allow us to enrich Web ontologies by adding de?nitions of derived concepts, to publish rules on the Web, to exchange rules between di?erent systems and tools, etc. RuleML 2003 built on the success of RuleML 2002, which was held in c- junction with ISWC 2002, Sardinia, Italy. The proceedings of RuleML 2002 can be found at http://www.ceur-ws.org/Vol-60/. Special highlights of the RuleML 2003 workshop were the two invited pres- tationsgivenbyPeterChenon“Rules,XML,andtheERModel”andbyHarold Boley on “Object-Oriented RuleML: User-Level Roles, URI-Grounded Clauses, and Order-Sorted Terms”. This proceedings volume also contains an invited - per by Francois ̧ Bry and Sebastian Scha?ert on “An Entailment Relation for Reasoning on the Web”.
  business rules engine python: Learn Python 3 the Hard Way Zed A. Shaw, 2017-06-26 You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3
  business rules engine python: Odoo Development Cookbook Holger Brunn, Alexandre Fayolle, Daniel Reis, 2016-04-29 Build effective applications by applying Odoo development best practices About This Book Each recipe stands by itself as much as possible, so that you can jump straight into the topics you prefer The recipes included cover all the major development areas of Odoo and the most important techniques explained through real-life projects From seasoned authors, learn the tricks of becoming a productive developer with the Odoo framework Who This Book Is For If you are a Python developer who wants to learn or consolidate your Odoo development skills, then this book is for you! Some experience with the JavaScript programming language and web development is required to fully benefit from the front-end chapters. What You Will Learn Install and manage Odoo environments and instances Use Models to define your application's data structures Add business logic to your applications Implement automated tests and debug Odoo apps Use back-end views to create a user interface Get to know about the access security model and internationalization features Develop front-end website features Extend the web client with new widgets and features In Detail Odoo is a full-featured open source ERP with a focus on extensibility. The flexibility and sustainability of open source is also a key selling point of Odoo. It is built on a powerful framework for rapid application development, both for back-end applications and front-end websites. The book starts by covering Odoo installation and administration, and provides a gentle introduction to application development. It then dives deep into several of the areas that an experienced developer will need to use. You'll learn implement business logic, adapt the UI, and extend existing features. Style and Approach These practical and easy-to-follow recipes are presented step-by-step, with dozens of hands-on recipes to boost your Odoo skills. This book can also be used as a reference guide for your daily work.
Business rules extraction for mainframe applications - Infosys
paper examines why extracting business rules embedded within mainframes is important. It also discusses the challenges involved in implementation. The paper further provides an agile plan …

Creating a Low-Code Business Process Execution Platform …
The visual Business Process Modeling and Notation (BPMN) offers nonprogrammers a “low-code/no-code” language for describing and automating their processes. The author of this …

Rev up your business rules engine - Deloitte United States
Our solutions enable the eficient identification, extraction, and migration of business rules to IBM zODM—accelerating the process up to six times faster than via manual extraction. scan code …

Running the CDISC Open Rules Engine (CORE) in BASE SAS©
The Engine accesses the Rules from the CDISC Library via a Library API when it executes. Users may also add custom Rules for processing. The Engine is written in the Python programming

Introduction To Rules Engines - cs.miu.edu
A rules-based system or inference engine could be used to analyze the following statements, treated as rules, and answer the question that a follows: Facts: o There are four golfers …

Machine Learning with Business Rules on IBM Z: Acting on …
platform that helps you capture, analyze, govern, and automate rules-based business decisions with optimized runtime options for integration with z/OS applications. With IBM Operational …

Research of the Rule Engine based on XML - Atlantis Press
Rule engine uses rule description files and interface of rule engine to pull out rules from the application program, to achieve a loosely coupled architecture of business rules and program …

Rule based programming with Drools - IJCSIT
In this paper we will take a look at the tools techniques for developing rule based applications and discuss their strengths, capabilities, and limitations. Keywords—JBoss Rules, JSR 94, Rule …

SOLVING BUSINESS RULE EXTRACTION AT SCALE USING …
Using Vision AI (EdgeVerve XtractEdge), advanced AI analytics and elastic search capabilities the joint team developed a cognitive rules harvesting solution to seamlessly document, visualize, …

Writing Business Rules Engines in Mercury
What is a Business Rules Engine? Domain Experts create rules that define the behaviour of the system. Rules are of the form: if condition then consequence. Rules act on a model of the …

Django Dynamic Business Rules Documentation - Read the Docs
A Django centric event driven rules engine for extensible and configurable responses to changes to django models and triggers. 1.1Documentation The full documentation is athttps://django …

Pluggable Rule Engine Architecture - iRODS
We demonstrate how to create the Python rule engine plugin and how to create user defined policy plugins. In this paper, we are going to describe a new development in the next release …

Business Rules Integration in BPEL – A Service-Oriented …
In this paper, we propose an approach on how to in-tegrate rule-based knowledge, accessible through business rules engines (BRE), in a service-oriented way in BPEL or even other Web …

How To Build A Business Rules Engine (2024)
How to Build a Business Rules Engine Malcolm Chisholm,2004 Demonstrating how to develop a business rules engine this guide covers user requirements data modelling metadata and more …

INCREASING AGILITY WITH A BUSINESS RULES ENGINE
When business rules are implemented in rules technology, they reside in a self-contained ecosystem called a rules engine. A rules engine is a collection of coded business rules that …

Extracting Business Rules from COBOL: A Model-Based Tool
In order to facilitate the comprehension and the evolution of COBOL-based systems, we present a Business Rule Extraction (BREX) tool1, that aims at extracting the (business) logic hard-coded …

How to Build a Business Rules Engine - api.pageplace.de
Chapter 1: WHAT ARE BUSINESS RULES AND BUSINESS RULES ENGINES? 1 Business Rules 1 Business Rules Engines 3 Business Rules in Business Rule Engines 4 Where Do …

Methods for Effective Formulation of Business Rules in Title …
In this Paper, a Literature Review on various ML & DL Algorithms was studied which can further be applied to the real problem in Building the dynamic Rule engine and predicting an …

Progress® Corticon® - Next-generation Business Rules
The primary objective of this document is to educate decision makers on the evolution and current state-of-the-art in the business rules industry, as well as the critical success factors for …

Three Ways a Business Rules Engine Can Drive Transformation …
The rules engine that powers the Decisions rule-based automation platform can be deployed as a stand-alone system. This approach enables large organizations to consolidate all their …

Business rules extraction for mainframe applications
paper examines why extracting business rules embedded within mainframes is important. It also discusses the challenges involved in implementation. The paper further provides an agile plan …

Creating a Low-Code Business Process Execution Platform …
The visual Business Process Modeling and Notation (BPMN) offers nonprogrammers a “low-code/no-code” language for describing and automating their processes. The author of this …

Rev up your business rules engine - Deloitte United States
Our solutions enable the eficient identification, extraction, and migration of business rules to IBM zODM—accelerating the process up to six times faster than via manual extraction. scan code …

Running the CDISC Open Rules Engine (CORE) in BASE SAS©
The Engine accesses the Rules from the CDISC Library via a Library API when it executes. Users may also add custom Rules for processing. The Engine is written in the Python programming

Introduction To Rules Engines - cs.miu.edu
A rules-based system or inference engine could be used to analyze the following statements, treated as rules, and answer the question that a follows: Facts: o There are four golfers …

Machine Learning with Business Rules on IBM Z: Acting on …
platform that helps you capture, analyze, govern, and automate rules-based business decisions with optimized runtime options for integration with z/OS applications. With IBM Operational …

Research of the Rule Engine based on XML - Atlantis Press
Rule engine uses rule description files and interface of rule engine to pull out rules from the application program, to achieve a loosely coupled architecture of business rules and program …

Rule based programming with Drools - IJCSIT
In this paper we will take a look at the tools techniques for developing rule based applications and discuss their strengths, capabilities, and limitations. Keywords—JBoss Rules, JSR 94, Rule …

SOLVING BUSINESS RULE EXTRACTION AT SCALE USING …
Using Vision AI (EdgeVerve XtractEdge), advanced AI analytics and elastic search capabilities the joint team developed a cognitive rules harvesting solution to seamlessly document, visualize, …

Writing Business Rules Engines in Mercury
What is a Business Rules Engine? Domain Experts create rules that define the behaviour of the system. Rules are of the form: if condition then consequence. Rules act on a model of the …

Django Dynamic Business Rules Documentation - Read the …
A Django centric event driven rules engine for extensible and configurable responses to changes to django models and triggers. 1.1Documentation The full documentation is athttps://django …

Pluggable Rule Engine Architecture - iRODS
We demonstrate how to create the Python rule engine plugin and how to create user defined policy plugins. In this paper, we are going to describe a new development in the next release …

Business Rules Integration in BPEL – A Service-Oriented …
In this paper, we propose an approach on how to in-tegrate rule-based knowledge, accessible through business rules engines (BRE), in a service-oriented way in BPEL or even other Web …

How To Build A Business Rules Engine (2024)
How to Build a Business Rules Engine Malcolm Chisholm,2004 Demonstrating how to develop a business rules engine this guide covers user requirements data modelling metadata and more …

INCREASING AGILITY WITH A BUSINESS RULES ENGINE
When business rules are implemented in rules technology, they reside in a self-contained ecosystem called a rules engine. A rules engine is a collection of coded business rules that …

Extracting Business Rules from COBOL: A Model-Based Tool
In order to facilitate the comprehension and the evolution of COBOL-based systems, we present a Business Rule Extraction (BREX) tool1, that aims at extracting the (business) logic hard-coded …

How to Build a Business Rules Engine - api.pageplace.de
Chapter 1: WHAT ARE BUSINESS RULES AND BUSINESS RULES ENGINES? 1 Business Rules 1 Business Rules Engines 3 Business Rules in Business Rule Engines 4 Where Do …

Methods for Effective Formulation of Business Rules in Title …
In this Paper, a Literature Review on various ML & DL Algorithms was studied which can further be applied to the real problem in Building the dynamic Rule engine and predicting an …

Progress® Corticon® - Next-generation Business Rules
The primary objective of this document is to educate decision makers on the evolution and current state-of-the-art in the business rules industry, as well as the critical success factors for …

Three Ways a Business Rules Engine Can Drive …
The rules engine that powers the Decisions rule-based automation platform can be deployed as a stand-alone system. This approach enables large organizations to consolidate all their …