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| data engineering conferences 2023: Proceedings of the International Conference on Data Engineering and Communication Technology Suresh Chandra Satapathy, Vikrant Bhateja, Amit Joshi, 2016-08-24 This two-volume book contains research work presented at the First International Conference on Data Engineering and Communication Technology (ICDECT) held during March 10–11, 2016 at Lavasa, Pune, Maharashtra, India. The book discusses recent research technologies and applications in the field of Computer Science, Electrical and Electronics Engineering. The aim of the Proceedings is to provide cutting-edge developments taking place in the field data engineering and communication technologies which will assist the researchers and practitioners from both academia as well as industry to advance their field of study. |
| data engineering conferences 2023: The Mathematics of Data Michael W. Mahoney, John C. Duchi, Anna C. Gilbert, 2018-11-15 Nothing provided |
| data engineering conferences 2023: Model and Data Engineering Mohamed Mosbah, Tahar Kechadi, Ladjel Bellatreche, Faiez Gargouri, 2024-01-22 This volume LNCS 14396 constitutes the refereed proceedings of the 12th International Conference, MEDI 2023,in November 2023 ,held in Sousse, Tunisia. The 27 full papers were carefully peer reviewed and selected from 99 submissions. The Annual International Conference on Model and Data Engineering focuses on bring together researchers and practitioners and enabling them to showcase the latest advances in modelling and data management. |
| data engineering conferences 2023: Data Engineering on Azure Vlad Riscutia, 2021-08-17 Build a data platform to the industry-leading standards set by Microsoft’s own infrastructure. Summary In Data Engineering on Azure you will learn how to: Pick the right Azure services for different data scenarios Manage data inventory Implement production quality data modeling, analytics, and machine learning workloads Handle data governance Using DevOps to increase reliability Ingesting, storing, and distributing data Apply best practices for compliance and access control Data Engineering on Azure reveals the data management patterns and techniques that support Microsoft’s own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engineering rigor to your data platform and ensure that your data prototypes function just as well under the pressures of production. You'll implement common data modeling patterns, stand up cloud-native data platforms on Azure, and get to grips with DevOps for both analytics and machine learning. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Build secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify. About the book In Data Engineering on Azure you’ll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you’ll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms. What's inside Data inventory and data governance Assure data quality, compliance, and distribution Build automated pipelines to increase reliability Ingest, store, and distribute data Production-quality data modeling, analytics, and machine learning About the reader For data engineers familiar with cloud computing and DevOps. About the author Vlad Riscutia is a software architect at Microsoft. Table of Contents 1 Introduction PART 1 INFRASTRUCTURE 2 Storage 3 DevOps 4 Orchestration PART 2 WORKLOADS 5 Processing 6 Analytics 7 Machine learning PART 3 GOVERNANCE 8 Metadata 9 Data quality 10 Compliance 11 Distributing data |
| data engineering conferences 2023: Software and Data Engineering Wenying Feng, |
| data engineering conferences 2023: Proceedings of the International Conference on Big Data, IoT, and Machine Learning Mohammad Shamsul Arefin, M. Shamim Kaiser, Anirban Bandyopadhyay, Md. Atiqur Rahman Ahad, Kanad Ray, 2021-12-03 This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2021), held in Cox’s Bazar, Bangladesh, during 23–25 September 2021. The book covers research papers in the field of big data, IoT and machine learning. The book will be helpful for active researchers and practitioners in the field. |
| data engineering conferences 2023: Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023) Abd El-Fatah Abomohra, 2024 |
| data engineering conferences 2023: Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023) Bijay Kumar Kandel, Jun Yang, J. JOSE PRABHU, Xueyuan Wang, 2024-01-10 This is an open access book.ICEM started in 2016, ICEM 2016-2022 is to bring together innovative academics and industrial experts in the field of Engineering Management to a common forum. And we achieved the primary goal which is to promote research and developmental activities in Engineering Management, and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. 2023 8th International Conference on Engineering Management (ICEM 2023) will be held on September 8-10, 2023 in Wuhan, China. Except that, ICEM 2023 is to bring together innovative academics and industrial experts in the field of Engineering Management to a common forum. We will discuss and study about Project & Engineering Management , Visual analysis of big data, Supply Chain Management and Modeling, Disaster Modeling and Simulation and other fields. ICEM 2023 also aims to provide a platform for experts, scholars, engineers, technicians and technical R & D personnel to share scientific research achievements and cutting-edge technologies, understand academic development trends, expand research ideas, strengthen academic research and discussion, and promote the industrialization cooperation of academic achievements. The conference sincerely invites experts, scholars, business people and other relevant personnel from universities, scientific research institutions at home and abroad to attend and exchange! The conference will be held every year to make it an ideal platform for people to share views and experiences in Engineering Management and related areas. Engineering management refers to the decision-making, planning, organization, command, coordination, and control of engineering to achieve expected goals and effectively utilize resources. The Engineering Management major cultivates students with theoretical foundations in construction engineering technology, economics, management, law, ecology, humanities, and other fields required by the new engineering discipline. They receive basic training as engineers and consultants, and possess independent thinking ability, engineering practice ability, organizational management ability, and international perspective as composite senior engineering management talents. We sincerely welcome our colleagues worldwide to join us for this conference. We look forward to seeing you in Wuhan, China for this exciting event! |
| data engineering conferences 2023: Proceedings of the 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023) Markus Hartono, Hudiyo Firmanto, Connie Susilawati, 2023-11-18 This is an open access book.Adaptive, Resilient & Collaborative EngineeringTowards Faster Recovery & Impactful Solutions The world in the last decade has been facing global issues such as accelerated global warming, depleting natural resources, food waste and scarcity, water contamination and shortage, energy conservation, etc. Enter the COVID-19 pandemic in 2020 and we face what people term as double disruption. Not only solutions to the above problems are becoming more critical, but they are also needed fast. Timely and effective solutions are called for so that we can recover from the pandemic while at the same time carry our efforts to better our world. It is no longer sufficient to find solutions that can only delay the negative impacts from the above problems, but it is imperative to tip the balance and reverse the impacts to our advantage. Engineers and engineering have a vital role in inventing mechanisms, systems, and/or products that can address the solutions. Digital technologies and artificial intelligence have been at the forefront of such exploration and we can expect some hints for a better future, if we continue being adaptive, resilient, and collaborative. Given the above background, Faculty of Engineering - Universitas Surabaya, will host the fourth bi-annual international conference “The 4th International Conference on Informatics, Technology and Engineering 2023 (InCITE 2023)” in Yogyakarta, Indonesia, September 14th–15th, 2023. This event is a continuation of the past events successfully held in 2017, 2019, and 2021. We invite academia and business practitioners all around the globe to share ideas and best practices relevant to the above conference topic. We hope that this event can also serve as a platform of gathering for anyone interested in exploring potential solutions of our common problems today. Accepted and presented paper will be submitted for publication in reputable International Proceeding (Atlantis Press). See you in Yogyakarta! |
| data engineering conferences 2023: Proceedings of the 2023 5th International Conference on Hydraulic, Civil and Construction Engineering (HCCE 2023) Ping Xiang, 2024 |
| data engineering conferences 2023: Proceedings of the International Conference on Applied Sciences and Engineering (ICASE 2023) Ulziibayar Vandandoo, Ankhbayar Gelegbadam, Ayurzana Badarch, Batdemberel Ganbat, Battsetseg Gereltbyamba, Kita Naoyasu, Ilchgerel Dash, Munkhsaikhan Gonchigsuren, Narantsetseg Magsarjav, Tsedenbayar Dashdondog, Tsermaa Galya, Saran Galdansambuu, 2023-12-30 This is an open access book. We kindly welcome to all academicians, researchers, scientists, engineers and graduate students in the related fields to submit their original research papers. Applications in engineering science that require expertise in mathematics, physics and chemistry. Its mission is to become a voice of the applied science community, addressing researchers and practitioners in different areas ranging from mathematics, physics, and chemistry to all related braches of the engineering, presenting verifiable computational methods, findings, and solutions. The Conference provided a setting for discussing recent developments in various engineering and applied science topics, including Mathematics, Chemistry, Physics, Computational science, Material science, Environmental Science and Chemical engineering. The submitted conference papers will be subjected to stringent peer review and carefully evaluated based on originality and clarity of exposition. All the accepted papers will be published in the conference proceedings. The conference provides opportunities for the attendants to share new ideas, experiences in Applied Sciences and Engineering and to establish collaboration for the future. |
| data engineering conferences 2023: Proceedings of the Rocscience International Conference 2023 (RIC2023) Reginald E. Hammah, Sina Javankhoshdel, Thamer Yacoub, Alireza Azami, Alison McQuillan, 2023-12-08 This is an open access book. Rocscience is delighted to announce the Rocscience International Conference 2023 (RIC2023), an in-person gathering to be held from April 24–26, 2023, in Toronto, Canada. RIC2023's primary objective is to bring geotechnical professionals together to meet and exchange ideas on important issues and developments in geotechnical engineering, particularly combinations of emerging and mature technologies. The geotechnical industry is rapidly evolving. Engineers are more connected through technology, technology is becoming more integrated than ever, and methods combining these technologies are becoming more prevalent. This movement towards combining technologies led us to the conference theme, “Synergy in Geotechnical Engineering – Success Beyond Individual Technologies.” We believe the time is right to highlight how far the industry has come with various technologies and continues to develop. The conference aims to create an environment that fosters new perspectives and helps attendees delve deeper into innovative approaches. During RIC2023, Rocscience will award the 2023 Lifetime Achievement Medal to Dr. Norbert Morgenstern, an internationally recognized authority in the engineering community. As both a practitioner and educator, Dr. Morgenstern’s contributions to the geotechnical community continue to benefit engineers worldwide, and he will give an address on his career. In addition to keynotes by Dr. Morgernstern and four other distinguished speakers, there will be several technical and networking sessions. |
| data engineering conferences 2023: Critical Approaches to Data Engineering Systems and Analysis Bora, Abhijit, Changmai, Papul, Maharana, Mrutyunjay, 2024-04-05 The current data engineering demands more than theoretical understanding; it necessitates a practical, nuanced approach. Data engineering involves the intricate orchestration of systems and architectural frameworks for collecting, storing, processing, and analyzing vast datasets. The challenge lies in ensuring this data is managed and harnessed effectively, fostering insightful knowledge and steering organizations toward data-driven decision-making. Critical Approaches to Data Engineering Systems and Analysis unveils the latent potential inherent in diverse data analysis and engineering techniques. It combines compelling perspectives, guidelines, and frameworks, applying statistical and mathematical models. As industries and research communities witness increasing demand for web-based systems, software modules, heuristic models, and survey analysis, the book emphasizes the critical methodologies associated with data verification, reliability, fault tolerance, and viability. |
| data engineering conferences 2023: Cell Culture Engineering Wei-Shu Hu, 2006-08-16 Since the introduction of recombinant human growth hormone and insulin a quarter century ago, protein therapeutics has greatly broadened the ho- zon of health care. Many patients suffering with life-threatening diseases or chronic dysfunctions, which were medically untreatable not long ago, can attest to the wonder these drugs have achieved. Although the ?rst generation of p- tein therapeutics was produced in recombinant Escherichia coli, most recent products use mammalian cells as production hosts. Not long after the ?rst p- duction of recombinant proteins in E. coli, it was realized that the complex tasks of most post-translational modi?cations on proteins could only be ef?ciently carried out in mammalian cells. In the 1990s, we witnessed a rapid expansion of mammalian-cell-derived protein therapeutics, chie?y antibodies. In fact, it has been nearly a decade since the market value of mammalian-cell-derived protein therapeutics surpassed that of those produced from E. coli. A common characteristic of recent antibody products is the relatively large dose required for effective therapy, demanding larger quantities for the treatment of a given disease. This, coupled with the broadening repertoire of protein drugs, has rapidly expanded the quantity needed for clinical applications. The increasing demand for protein therapeutics has not been met exclusively by construction of new manufacturing plants and increasing total volume capacity. More - portantly the productivity of cell culture processes has been driven upward by an order of magnitude in the past decade. |
| data engineering conferences 2023: International Conference on Intelligent and Smart Computing in Data Analytics Siddhartha Bhattacharyya, Janmenjoy Nayak, Kolla Bhanu Prakash, Bighnaraj Naik, Ajith Abraham, 2021-03-12 This book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, human–computer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry. |
| data engineering conferences 2023: Intelligent Data Engineering and Analytics Vikrant Bhateja, Fiona Carroll, João Manuel R. S. Tavares, Sandeep Singh Sengar, Peter Peer, 2023-11-25 The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines. |
| data engineering conferences 2023: AI and Data Engineering Solutions for Effective Marketing Alla, Lhoussaine, Hmioui, Aziz, Bentalha, Badr, 2024-07-17 In the world of contemporary marketing, a challenge exists — the relationship between data engineering, artificial intelligence, and the essential elements of effective marketing. Businesses find themselves at a crossroads, grappling with the imperative to navigate this complex landscape. This challenge serves as the backdrop for the exploration in AI and Data Engineering Solutions for Effective Marketing, a comprehensive reference tailored for academic scholars. Seamlessly integrating theoretical models with real-world applications, the book delves into critical facets of strategic and operational marketing. From the adoption of data science techniques to grappling with big data's vast potential, it offers a guide for academics seeking profound insights into the future of marketing strategies and their efficient execution. Designed for researchers, practitioners, and students with an interest in the intersection of artificial intelligence, data engineering, and marketing, this book serves as a guide for implementing new marketing management solutions and optimizing their operational efficiency. While the primary audience is researchers and practitioners in the field, the book is also tailored to benefit students seeking a deep understanding of the latest developments in marketing. |
| data engineering conferences 2023: ECRM 2023 22nd European Conference on Research Methods in Business and Management , 2023-09-06 |
| data engineering conferences 2023: ECAI 2023 K. Gal, A. Nowé, G.J. Nalepa, 2023-10-18 Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field. |
| data engineering conferences 2023: Applications of Artificial Intelligence in Engineering Xiao-Zhi Gao, Rajesh Kumar, Sumit Srivastava, Bhanu Pratap Soni, 2021-05-10 This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence. |
| data engineering conferences 2023: Data Engineering with Apache Spark, Delta Lake, and Lakehouse Manoj Kukreja, Danil Zburivsky, 2021-10-22 Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big data Key FeaturesBecome well-versed with the core concepts of Apache Spark and Delta Lake for building data platformsLearn how to ingest, process, and analyze data that can be later used for training machine learning modelsUnderstand how to operationalize data models in production using curated dataBook Description In the world of ever-changing data and schemas, it is important to build data pipelines that can auto-adjust to changes. This book will help you build scalable data platforms that managers, data scientists, and data analysts can rely on. Starting with an introduction to data engineering, along with its key concepts and architectures, this book will show you how to use Microsoft Azure Cloud services effectively for data engineering. You'll cover data lake design patterns and the different stages through which the data needs to flow in a typical data lake. Once you've explored the main features of Delta Lake to build data lakes with fast performance and governance in mind, you'll advance to implementing the lambda architecture using Delta Lake. Packed with practical examples and code snippets, this book takes you through real-world examples based on production scenarios faced by the author in his 10 years of experience working with big data. Finally, you'll cover data lake deployment strategies that play an important role in provisioning the cloud resources and deploying the data pipelines in a repeatable and continuous way. By the end of this data engineering book, you'll know how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence (AI) tasks. What you will learnDiscover the challenges you may face in the data engineering worldAdd ACID transactions to Apache Spark using Delta LakeUnderstand effective design strategies to build enterprise-grade data lakesExplore architectural and design patterns for building efficient data ingestion pipelinesOrchestrate a data pipeline for preprocessing data using Apache Spark and Delta Lake APIsAutomate deployment and monitoring of data pipelines in productionGet to grips with securing, monitoring, and managing data pipelines models efficientlyWho this book is for This book is for aspiring data engineers and data analysts who are new to the world of data engineering and are looking for a practical guide to building scalable data platforms. If you already work with PySpark and want to use Delta Lake for data engineering, you'll find this book useful. Basic knowledge of Python, Spark, and SQL is expected. |
| data engineering conferences 2023: Internet of Things – ICIOT 2023 Kejiang Ye, Liang-Jie Zhang, 2024-01-18 This book constitutes the refereed proceedings of the 8th International Conference on Internet on Things, ICIOT 2023, held as part of SCF 2023, in Shenzhen, China, during December 17–18, 2023. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The papers cover topics in the field of sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines. |
| data engineering conferences 2023: 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023) Vilas Gaikar, Bijay Kumar Kandel, Hrushikesh Mallick, 2023-07-24 This is an open access book. E-commerce is a commercial activity centered on commodity exchange by means of information network technology. In the open network environment of the Internet, based on the client/server application method, buyers and sellers carry out various commercial activities online, realizing online shopping for consumers, online transactions between merchants and online electronic payment, as well as various business activities, trading activities, financial activities and related comprehensive service activities of a new business operation mode. It is the electronicization, networking and informatization of all aspects of traditional business activities. Internet technology is the prerequisite for e-commerce to be realized. The development and popularization of Internet technology has also played a positive role in promoting the development of e-commerce. Internet technology is a double-edged sword, with advantages and disadvantages, since it can promote the development of e-commerce, it may also affect its normal construction, such as the existence of theft of information, tampering with information, counterfeiting, malicious damage and other security risks, but also through the firewall technology, data encryption technology, authentication technology, digital signature technology and other technologies to regulate the transaction process. Therefore, the influence of the two is mutual, and only through continuous friction can we continuously promote the development of both sides in a benign direction. ECIT 2023 provides a platform in order to Create a forum for sharing, research and exchange at the international level, so that participants can be informed of the latest research directions, results and contents of applied Internet technologies on e-commerce, thus stimulating them to generate new research ideas. Promote the development of e-commerce by studying its problems. To open up new perspectives, broaden horizons and examine the issues under discussion by the participants. Each accepted article requires at least one author to attend the meeting and present it. |
| data engineering conferences 2023: Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) Abdul Rauf, Norhayati Zakuan, Muhammad Tayyab Sohail, Ruzita Azmi, 2023-11-06 This is an open access book.The 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) is to be held on July 21-23, 2023 at Qingdao, China. ICMSSE is China's annual conference since 2021. It was held in Chengdu, Chongqing from 2021 to 2022. Every year, there are many attendees from Asia, Europe, America, etc., and quite a few well-known experts give plenary speeches. Management science and engineering is a discipline that comprehensively uses systems science, management science, mathematics, economics and behavioral science and engineering methods, combined with information technology to study and solve management problems in society, economy, engineering and other aspects. In addition to the current situation of management science at home and abroad discussed in the first two sessions, this session realized that with the development of science and technology, the intersection of disciplines, coupled with the continuous expansion of the field of management science and engineering research, for online risk management (ERB, BRP system) and virtual organizations, virtual enterprises, etc., will become the focus of management science and engineering research in the future. This conference will also conduct in-depth research on these aspects, hoping to further promote the economic development of enterprises and provide them for their development. more clear direction and guidance. |
| data engineering conferences 2023: Blockchain, Internet of Things, and Artificial Intelligence Naveen Chilamkurti, T. Poongodi, Balamurugan Balusamy, 2021-04-02 Blockchain, Internet of Things, and Artificial Intelligence provides an integrated overview and technical description of the fundamental concepts of blockchain, IoT, and AI technologies. State-of-the-art techniques are explored in depth to discuss the challenges in each domain. The convergence of these revolutionized technologies has leveraged several areas that receive attention from academicians and industry professionals, which in turn promotes the book's accessibility more extensively. Discussions about an integrated perspective on the influence of blockchain, IoT, and AI for smart cities, healthcare, and other business sectors illuminate the benefits and opportunities in the ecosystems worldwide. The contributors have focused on real-world examples and applications and highlighted the significance of the strengths of blockchain to transform the readers’ thinking toward finding potential solutions. The faster maturity and stability of blockchain is the key differentiator in artificial intelligence and the Internet of Things. This book discusses their potent combination in realizing intelligent systems, services, and environments. The contributors present their technical evaluations and comparisons with existing technologies. Theoretical explanations and experimental case studies related to real-time scenarios are also discussed. FEATURES Discusses the potential of blockchain to significantly increase data while boosting accuracy and integrity in IoT-generated data and AI-processed information Elucidates definitions, concepts, theories, and assumptions involved in smart contracts and distributed ledgers related to IoT systems and AI approaches Offers real-world uses of blockchain technologies in different IoT systems and further studies its influence in supply chains and logistics, the automotive industry, smart homes, the pharmaceutical industry, agriculture, and other areas Presents readers with ways of employing blockchain in IoT and AI, helping them to understand what they can and cannot do with blockchain Provides readers with an awareness of how industry can avoid some of the pitfalls of traditional data-sharing strategies This book is suitable for graduates, academics, researchers, IT professionals, and industry experts. |
| data engineering conferences 2023: Proceedings of the International Renewable Energy Storage and Systems Conference (IRES 2023) Peter Droege, 2024 |
| data engineering conferences 2023: Proceedings of the 7th International Conference on Emerging Databases Wookey Lee, Wonik Choi, Sungwon Jung, Min Song, 2017-10-13 This proceedings volume presents selected papers from the 7th International Conference on Emerging Databases: Technologies, Applications, and Theory (EDB 2017), which was held in Busan, Korea from 7 to 9 August, 2017. This conference series was launched by the Korean Institute of Information Scientists and Engineers (KIISE) Database Society of Korea as an annual forum for exploring novel technologies, applications, and research advances in the field of emerging databases. This forum has evolved into the premier international venue for researchers and practitioners to discuss current research issues, challenges, new technologies, and solutions. |
| data engineering conferences 2023: The Semantic Web – ISWC 2023 Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, Juanzi Li, 2023-11-01 This book constitutes the proceedings of the 22nd International Semantic Web Conference, ISWC 2023, which took place in October 2023 in Athens, Greece. The 58 full papers presented in this double volume were thoroughly reviewed and selected from 248 submissions. Many submissions focused on the use of reasoning and query answering, witha number addressing engineering, maintenance, and alignment tasks for ontologies. Likewise, there has been a healthy batch of submissions on search, query, integration, and the analysis of knowledge. Finally, following the growing interest in neuro-symbolic approaches, there has been a rise in the number of studies that focus on the use of Large Language Models and Deep Learning techniques such as Graph Neural Networks. |
| data engineering conferences 2023: Neural Information Processing Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li, 2023-11-13 The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. |
| data engineering conferences 2023: Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023 AboulElla Hassanien, Rawya Y. Rizk, Dragan Pamucar, Ashraf Darwish, Kuo-Chi Chang, 2023-09-17 This proceedings book constitutes the refereed proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics (AISI 2023), which took place in Port Said University, Port Said, Egypt, during September 20–22, 2023, Egypt, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications. |
| data engineering conferences 2023: Proceedings of Second International Conference on Intelligent System João Manuel R. S. Tavares, |
| data engineering conferences 2023: R for Everyone Jared P. Lander, 2017-06-13 Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, manipulation, and visualization; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. After all this you’ll make your code reproducible with LaTeX, RMarkdown, and Shiny. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage includes Explore R, RStudio, and R packages Use R for math: variable types, vectors, calling functions, and more Exploit data structures, including data.frames, matrices, and lists Read many different types of data Create attractive, intuitive statistical graphics Write user-defined functions Control program flow with if, ifelse, and complex checks Improve program efficiency with group manipulations Combine and reshape multiple datasets Manipulate strings using R’s facilities and regular expressions Create normal, binomial, and Poisson probability distributions Build linear, generalized linear, and nonlinear models Program basic statistics: mean, standard deviation, and t-tests Train machine learning models Assess the quality of models and variable selection Prevent overfitting and perform variable selection, using the Elastic Net and Bayesian methods Analyze univariate and multivariate time series data Group data via K-means and hierarchical clustering Prepare reports, slideshows, and web pages with knitr Display interactive data with RMarkdown and htmlwidgets Implement dashboards with Shiny Build reusable R packages with devtools and Rcpp Register your product at informit.com/register for convenient access to downloads, updates, and corrections as they become available. |
| data engineering conferences 2023: Data Teams Jesse Anderson, 2020 |
| data engineering conferences 2023: ECCWS 2023 22nd European Conference on Cyber Warfare and Security Antonios Andreatos, Christos Douligeris, 2023-06-22 |
| data engineering conferences 2023: Responsible Artificial Intelligence Virginia Dignum, 2019-11-04 In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens. |
| data engineering conferences 2023: Business Process Management Chiara Di Francescomarino, Andrea Burattin, Christian Janiesch, Shazia Sadiq, 2023-08-31 This book constitutes the refereed proceedings of the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The 27 papers included in this book were carefully reviewed and selected from 151 submissions. They were organized in three main research tracks: Foundations, engineering, and management. |
| data engineering conferences 2023: Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science Sheng-Lung Peng, Noor Zaman Jhanjhi, Souvik Pal, Fathi Amsaad, 2023-08-28 The volume is a collection of high-quality, peer-reviewed research papers presented at the Third International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023), held during 24 – 25 February 2023 in hybrid mode. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high performance computing, network and device security, Internet of Things (IoT). |
| data engineering conferences 2023: Data Engineering and Communication Technology K. Ashoka Reddy, B. Rama Devi, Boby George, K. Srujan Raju, 2021 This book includes selected papers presented at the 4th International Conference on Data Engineering and Communication Technology (ICDECT 2020), held at Kakatiya Institute of Technology & Science, Warangal, India, during 25-26 September 2020. It features advanced, multidisciplinary research towards the design of smart computing, information systems and electronic systems. It also focuses on various innovation paradigms in system knowledge, intelligence and sustainability which can be applied to provide viable solutions to diverse problems related to society, the environment and industry. |
| data engineering conferences 2023: International Conference on Advanced Intelligent Systems for Sustainable Development Janusz Kacprzyk, Mostafa Ezziyyani, Valentina Emilia Balas, 2023-06-09 This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems. |
| data engineering conferences 2023: INCREaSE 2019 Janio Monteiro, António João Silva, António Mortal, Jaime Aníbal, Manuela Moreira da Silva, Miguel Oliveira, Nelson Sousa, 2019-09-19 This book contains the proceedings of the INternational CongRess on Engineering and Sustainability in the XXI cEntury – INCREaSE 2019, which was held in Faro, Portugal, from October 09 to 11, 2019. The book promotes a multidisciplinary approach to sustainable development, exploring a number of transversal challenges. Among other topics it discusses Climate Changes and Environmental Protection; Renewable Energy; Energy Efficiency in Buildings; Green Governance and Mobility; Water for Ecosystem and Society; Healthy Food; Sustainable Construction; and Sustainable Tourism, offering perspectives from civil, electronics, mechanical, and food engineering. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a Transnationa…
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; …
Belmont Forum Adopts Open Data Principles for Environmental Chan…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
