Advertisement
| data mining in human resource management: Apply Data Mining Techniques in Human Resource Management Thùy Trang Đỗ, 2009 |
| data mining in human resource management: Big Data in Organizations and the Role of Human Resource Management Tobias M. Scholz, 2017 Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization's new competitive advantage is its employees augmented by big data. |
| data mining in human resource management: Advanced Data Mining and Applications Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li, 2009-07-28 This book constitutes the refereed proceedings of the 5th International Conference on Advanced Data Mining and Applications, ADMA 2009, held in Beijing, China, in August 2009. The 34 revised full papers and 47 revised short papers presented together with the abstract of 4 keynote lectures were carefully reviewed and selected from 322 submissions from 27 countries. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining and feature original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining. |
| data mining in human resource management: Data Mining John Wang, 2003-01-01 Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining. The primary objective of this book is to explore the myriad issues regarding data mining, specifically focusing on those areas that explore new methodologies or examine case studies. This book contains numerous chapters written by an international team of forty-four experts representing leading scientists and talented young scholars from seven different countries. |
| data mining in human resource management: Human Capital Systems, Analytics, and Data Mining Robert C. Hughes, 2018-09-03 Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for Human Capital Management Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent of any human capital software vendor offerings and is equally usable and portable among both commercial and internally developed HCMS. The book begins with an overview of HCMS, including coverage of human resource systems history and current HCMS Computing Environments. It next explores relational and dimensional database management concepts and principles. HCMS Instructional databases developed by the Author for use in Graduate Level HCMS and Compensation Courses are used for database modeling and dashboard design exercises. Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining tools through replication of actual original pay equity research by the author are included. New findings concerning Gender Based Pay Equity Research through the lens Comparable Worth and Occupational Mobility are covered extensively in Human Capital Metrics, Analytics and Data Mining Chapters. |
| data mining in human resource management: Research in Personnel and Human Resources Management M. Ronald Buckley, Jonathon R. B. Halbesleben, Anthony R. Wheeler, 2014-06-04 Volume 32 of Research in Personnel and Human Resources Management (RPHRM) contains seven papers on important issues in the field of human resources management. The subject matter in this volume covers myriad areas: compensation, performance evaluation, reputation, employee furloughs, and research methodology. |
| data mining in human resource management: Strategic Analytics Alec Levenson, 2015-11-02 This book shows how to use an integrated approach to bring business analytics and HR analytics together by presenting a thorough and realistic treatment of the reasons for and challenges of taking an integrated approach. |
| data mining in human resource management: Advances in Knowledge Discovery and Data Mining Wee Keong Ng, 2006-03-31 This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more. |
| data mining in human resource management: Human Resources Management: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2012-05-31 Human resources management is essential for any workplace environment and is deemed most effective when a strategic focus is in place to ensure that people can facilitate that achievement of organizational goals. But, effective human resource management also contains an element of risk management for an organization which, as a minimum, ensures legislative compliance. Human Resources Management: Concepts, Methodologies, Tools, and Applications compiles the most sought after case studies, architectures, frameworks, methodologies, and research related to human resources management. Including over 100 chapters from professional, this three-volume collection presents an in-depth analysis on the fundamental aspects, tools and technologies, methods and design, applications, managerial impact, social/behavioral perspectives, critical issues, and emerging trends in the field, touching on effective and ineffective management practices when it comes to human resources. This multi-volume work is vital and highly accessible across the hybrid domain of business and management, essential for any library collection. |
| data mining in human resource management: Global Human Resource Management Willy McCourt, Derek Eldridge, 2003-01-01 'Global Human Resource Management is a timely and excellent resource, and its focus on developing and transitional countries fills something of a gap in the literature. It is a welcome addition to the list of resources available to HR managers working in the international scene.' - Geoffrey De Lacy, HR Monthly This book presents Human Resource Management (HRM) as a tool for improving the performance of organizations in developing and transitional countries. It does this through the presentation of an integrated model of human resource management, informed by the practical realities of applying such a model in developing and transitional countries. |
| data mining in human resource management: Introduction to Data Mining and Its Applications S. Sumathi, S.N. Sivanandam, 2006-09-26 This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining. |
| data mining in human resource management: Employee Surveys That Work Alec Levenson, 2014-05-26 Poorly designed employee surveys frustrate participants, analysts, and executives and can end up doing more harm than good. Alec Levenson offers sensible, practical ways to make them more useful and accurate and counters a number of unhelpful but common practices. He provides specific advice for ensuring that the purpose and desired outcomes of surveys are clear, the questions are designed to provide the most relevant and accurate data, and the results are actionable. He also looks at a wealth of specific issues, such as the best benchmarking practices, the benefits of multivariate modeling for analyzing results, the linking of survey data with performance data, the best ways to measure employee engagement, the pros and cons of respondent anonymity, and much more. |
| data mining in human resource management: Predictive Analytics for Human Resources Jac Fitz-enz, John Mattox, II, 2014-07-28 Create and run a human resource analytics project with confidence For any human resource professional that wants to harness the power of analytics, this essential resource answers the questions: Where do I start? and What tools are available? Predictive Analytics for Human Resources is designed to answer these and other vital questions. The book explains the basics of every business—the vision, the brand, and the culture, and shows how predictive analytics supports them. The authors put the focus on the fundamentals of predictability and include a framework of logical questions to help set up an analytic program or project, then follow up by offering a clear explanation of statistical applications. Predictive Analytics for Human Resources is a how-to guide filled with practical and targeted advice. The book starts with the basic idea of engaging in predictive analytics and walks through case simulations showing statistical examples. In addition, this important resource addresses the topics of internal coaching, mentoring, and sponsoring and includes information on how to recruit a sponsor. In the book, you'll find: A comprehensive guide to developing and implementing a human resource analytics project Illustrative examples that show how to go to market, develop a leadership model, and link it to financial targets through causal modeling Explanations of the ten steps required in building an analytics function How to add value through analysis of systems such as staffing, training, and retention For anyone who wants to launch an analytics project or program for HR, this complete guide provides the information and instruction to get started the right way. |
| data mining in human resource management: Handbook of Research on Artificial Intelligence in Human Resource Management Strohmeier, Stefan, 2022-03-08 This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation. |
| data mining in human resource management: Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) Kannimuthu Subramanian, Jian Ouyang, Wei Wei, 2023-02-10 This is an open access book. With the rapid development of society and the continuous progress of computer science and technology, when entering the information age, design has also been integrated into the new media age in time. The application of computer technology in design has broken the limitations of traditional design, achieved a huge breakthrough in the field of design, provided more innovative forms of expression for design, and also achieved subversive changes in design methods. We need to note that design comes from life, and then it is a matter of applying tools and crafting techniques to realize it. For designers, maintaining innovation is still the first and foremost in creation. How to use technology to enable design without relying on technology is still a dilemma. Therefore, it is necessary to create a space for the researchers, practitioners, and enthusiasts in the field of computing and design to gather and discuss this current issue. The International Conference on Computer Technology and Media Convergence Design aims to accommodate this need, as well as to: 1. Advance the academic field by exploring cutting-edge research and applications. 2. Open up new horizons, broaden the horizons of computer technology research and design, 3. Create academic forums to provide opportunities for academic resource sharing and research exchanges. 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) will be held in Dali, China during May 13-15, 2022. CTMCD2022 invites the researchers, practitioners, and enthusiasts in the field of computing and design to participate and share knowledge. We also accept papers on computer technology and media convergence design. |
| data mining in human resource management: Social and Political Implications of Data Mining: Knowledge Management in E-Government Rahman, Hakikur, 2009-02-28 This book focuses on the data mining and knowledge management implications that lie within online government--Provided by publisher. |
| data mining in human resource management: Electronic HRM in Theory and Practice Tanya Bondarouk, Huub Ruël, J. C. Looise, 2011-06-09 Organizations have increasingly been introducing web-based applications for HRM purposes, and these are frequently labeled as electronic Human Resource Management (e-HRM). This title focuses on the theoretical developments within the field of e-HRM research and clarifies the need to crystallize a theoretical framework for e-HRM research. |
| data mining in human resource management: BDEIM 2022 Paulo Batista, Wenbing Zhao, Lin Liu, 2023-06-14 BDEIM 2022 created an academic platform for academic communication and scientific innovation, brought together experts, scholars, and scientists in the fields of big data economy and information management from all over the world to present their research results and to exchange information, promoted the industrial cooperation of academic achievements, and facilitated the collaboration in the future among all the participants. The scope of the conference covered all areas of research in big data economy and information management, including Big Data Mining, Economic Statistics under Big Data, Sensor Network and Internet of Things, Computer Science and Internet, Network and Information Security, Database Technology, etc. The conference brought together about 150 participants, primarily from China, but also from USA, France, Portugal, and other countries. This volume contains the papers presented at the 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), held during December 2nd-3rd, 2023 in Zhengzhou, China. |
| data mining in human resource management: Data Mining in Public and Private Sectors: Organizational and Government Applications Syvajarvi, Antti, Stenvall, Jari, 2010-06-30 The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government Applications explores the manifestation of data mining and how it can be enhanced at various levels of management. This innovative publication provides relevant theoretical frameworks and the latest empirical research findings useful to governmental agencies, practicing managers, and academicians. |
| data mining in human resource management: Asia Pacific Human Resource Management and Organisational Effectiveness Alan Nankervis, Chris Rowley, Noorziah Salleh, 2016-06-24 Asia Pacific Human Resource Management and Organisational Effectiveness: Impacts on Practice explores the concepts and applications of strategic human resource management (SHRM) theory on the roles and practices of human resource professionals employed in organizations across the Asia Pacific region. It blends new conceptual frameworks with empirical evidence, case illustrations, and company examples from a variety of countries in the region, exploring the economic, political, socio-cultural, demographic, and professional dimensions of the topic. Country studies (for example, Vietnam, Thailand, Malaysia, China, India, Korea and Australia) are included, examining the relationships between SHRM and talent management, knowledge workers, quality of work and human capital management in the Asian region. - Presents the first book to explore the link between HRM and organizational effectiveness - Provides new empirical and case study research on relevant issues regarding strategic human resource management - Offers a blend of experienced global HRM scholars with enthusiastic regional academics - Includes an amalgam of conceptual and practical approaches to the topic |
| data mining in human resource management: Human Resources Management Systems Glenn M. Rampton, Ian J. Turnbull, J. Allen Doran, 1999 |
| data mining in human resource management: Human Resource Management, 10th Edition Raymond J. Stone, Anne Cox, Mihajla Gavin, 2020-12-14 The new edition of Raymond Stone’s Human Resource Management is an AHRI endorsed title that has evolved into a modern, relevant and practical resource for first-year HRM students. This concise 14-chapter textbook gives your students the best chance of transitioning successfully into their future profession by giving them relatable professional insights and encouragement to exercise their skills in authentic workplace scenarios. Complementary to your courses, with well written conceptual content, Stone’s 10th Edition will save you research and assessment prep time with a host of case studies that cement learnings and get students thinking critically. |
| data mining in human resource management: The Brave New World of eHR Hal Gueutal, Dianna L. Stone, 2005-02-18 The Brave New World of eHR is an important resource, filledwith the most current information and practical advice on eHR forhuman resource professionals and industrial and organizationalpsychologists. Written by an expert group of scholars,practitioners, and subject matter experts, this book offers anoverview of the major technological trends in eHR, and shows how touse technology to enhance organizational effectiveness. Comprehensive in scope, the book includes information on a widevariety of topics and Reviews the transformation of human resources from manualprocesses to sophisticated CRM and ERP systems Examines the effectiveness of online strategies for attractingtalent Offers valuable guidelines that can help organizations design,deliver, implement, and sustain e-selection systems Includes a review of the recent research on the effectivenessof distance learning in educational and organizationalsettings Analyzes the potential advantages and disadvantages of usingeHR to manage employee performance Shows how technology supports the administration ofcompensation systems Outlines recent trends in delivering HR products andservices Considers the functional and dysfunctional consequences ofusing eHR to attract, select, and manage the performance ofemployees in organizations Presents a fascinating and futuristic look at HR and technologyfor decades to come |
| data mining in human resource management: Application of Intelligent Systems in Multi-modal Information Analytics , 2021 This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18-19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. |
| data mining in human resource management: Data Mining and Big Data Ying Tan, |
| data mining in human resource management: Contemporary Global Issues in Human Resource Management Mehmet Ali Turkmenoglu, Berat Cicek, 2020-11-18 Focusing on current workplace issues and employee and employer expectations of Human Resource Management in a rapidly changing business environment, this book examines current trends of HR practices and expands on current literature. |
| data mining in human resource management: e-Learning, e-Education, and Online Training Weina Fu, Guanglu Sun, 2023-03-08 The two-volume set, LNICST 453 and 454 constitutes the proceedings of the 8th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2022, held in Harbin, China, in July 2022. The 111 papers presented in this volume were carefully reviewed and selected from 226 submissions. This conference has brought researchers, developers and practitioners around the world who are leveraging and developing e-educational technologies as well as related learning, training, and practice methods. The theme of eLEOT 2022 was “New Trend of Information Technology and Artificial Intelligence in Education”. They were organized in topical sections as follows: IT promoted Teaching Platforms and Systems; AI based Educational Modes and Methods; Automatic Educational Resource Processing; Educational Information Evaluation. |
| data mining in human resource management: Application of Big Data, Blockchain, and Internet of Things for Education Informatization Mian Ahmad Jan, Fazlullah Khan, 2023-01-11 The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29–31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as “Big Data” and “Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education. |
| data mining in human resource management: Recent Advancements in Computational Finance and Business Analytics Rangan Gupta, |
| data mining in human resource management: Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022) Jemal H. Abawajy, Zheng Xu, Mohammed Atiquzzaman, Xiaolu Zhang, 2023-04-07 This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users. |
| data mining in human resource management: Encyclopedia of Data Warehousing and Mining Wang, John, 2005-06-30 Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM. |
| data mining in human resource management: The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy John MacIntyre, Jinghua Zhao, Xiaomeng Ma, 2020-11-04 This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field. |
| data mining in human resource management: Disruptive Artificial Intelligence and Sustainable Human Resource Management Anamika Pandey, Balamurugan Balusamy, Naveen Chilamkurti, 2023-12-14 It is well-established that every organization is founded with a specific purpose and goals. Virtually all business organizations obtain measurements and metrics dealing with outcomes and results. However, what is reflected on the balance sheet does not necessarily show the actual worth of the organizations and ensure their survival and sustainability. Thus, the question arises, what exactly makes the organizations sustainable and thriving in an ever-changing environment? There are several examples of companies like Faber-Castell, Bank of Ireland, Chivas, DuPont and many more which have been able to sustain and survive over more than 200 years and still have a successful existence in the present era. Thus, it is important for the organization to pay equal attention to its three bottom lines, i.e., people, profit and planet for its sustainability, which not only meet the needs of the present generation but should have a futuristic approach as well. In the present era, organizations are adopting a new normal working dynamic and coping with the post-pandemic situations to sustain themselves in the business environment. Technology plays a significant role in this new working dynamic, and cutting-edge technologies like machine learning, artificial intelligence, blockchain,ChatGPT, Internet of Things, and much more effectively facilitate human functioning at work. The book aims to contribute to understanding and developing sustainable human resource management processes and practices aligned with recent technologies. It highlights the interconnection among the three bottom-line sustainable approaches for the growth and development of the organization. Topics discussed in this book include: • Disruptive Technologies and HR Sustainability • Convergence of Innovative Technologies, HR and Organizational Growth • Triple bottom-line Sustainability for HRM • Business-oriented Talent analytics and HR Sustainability • Role of Leadership in sustainable HRM practices. |
| data mining in human resource management: Application of Intelligent Systems in Multi-modal Information Analytics Vijayan Sugumaran, Zheng Xu, Huiyu Zhou, 2020-07-20 This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18–19, 2020. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including data mining, multi-modal informatics, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. |
| data mining in human resource management: Innovative Computing Yan Pei, Jia-Wei Chang, Jason C. Hung, 2022-10-14 This book comprises select proceedings of the 5th International Conference on Innovative Computing (IC 2022) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike. |
| data mining in human resource management: Fundamentals of Human Resource Management Robert N. Lussier, John R. Hendon, 2015-11-26 Fundamentals of Human Resource Management: Functions, Applications, Skill Development takes a unique three-pronged approach that gives students a clear understanding of important HRM concepts and functions, shows them how to apply those concepts, and helps them build a strong skill set they can use in their personal and professional lives. Covering the vast majority the 210 required SHRM Curriculum Guidebook topics required for undergraduates, Fundamentals of Human Resource Management gives the student the ability to successfully manage others in today's work environment. Authors Robert N. Lussier and John R. Hendon engage students with a variety of high-quality applications and skill development exercises to improve students’ comprehension and retention. The authors’ emphasis on current trends and the challenges facing HR managers and line managers today provide students with key insights on important issues and prepare them for successful careers. |
| data mining in human resource management: The Ideological Evolution of Human Resource Management Sami Itani, 2017-09-22 This book is a pioneering work that explores and maps out the ideological evolution of HRM research and practices, with a particular focus on our contemporary era of multinational corporations. |
| data mining in human resource management: Intelligent Computing Technology and Automation Z. Hou, 2024-02-08 Artificial Intelligence (AI) is a rapidly developing field of computer science which integrates multiple disciplines such as computer science, psychology, and philosophy. It is a technology that develops theories, methods, technologies, and application systems to simulate, extend, and expand human intelligence by attempting to understand its essence, producing a new, intelligent machine that can respond in a way similar to human intelligence. Artificial intelligence now plays an increasingly important role in the development of global industries and economies, and as such is currently changing our world significantly, making AI research a hot topic worldwide. This book presents the proceedings of ICICTA 2023, the 16th International Conference on Intelligent Computing Technology and Automation, held on 24-25 October 2023 in Xi’an, China. The conference is an annual forum dedicated to emerging and challenging topics in AI and its applications, and its aim is to bring together an international community of researchers and practitioners in the field of AI to share the latest research achievements, discuss recent advances influence future direction, and promote the diffusion of the discipline throughout the scientific community at large. A total of 322 submissions were received for ICICTA 2023, and each paper received at least 2 review reports in a rigorous peer-review procedure. Based on these reports, 141 papers were ultimately accepted and are included in this book. The book offers a current overview of developments in AI technology, and will be of interest to all those working in the field. |
| data mining in human resource management: Designing Workforce Management Systems for Industry 4.0 Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Kant Gupta, 2023-10-11 This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management. Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered. This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing. |
| data mining in human resource management: Human Resource Management Jean Phillips, 2018-01-15 Formerly published by Chicago Business Press, now published by Sage Using a combination of knowledge acquisition and personal development, Human Resource Management: An Applied Approach is designed to prepare future HRM managers to effectively utilize HRM strategies to not only advance their own careers, but also support the growth and development of those they manage. Author Jean Phillips adopts an engaging approach, encouraging students to take action and create a lasting impact in the field of HRM that goes beyond theoretical learning. |
Data Mining Techniques In HR Analytics: A Review Of Domain …
Abstract— The review tries to deal with the usage, scope and nature of the various data mining techniques for better analysis and prediction of HR functionalities in an organization. The …
Predictive Human Resource Analytics Using Data Mining
The Human Resource Management should have a conception the optimum estimation of the turnover is for their firms. In this paper, we build data mining model for Human Resource …
Research on Human Resource Management based on Data …
important means to obtain human resources by using data mining technology to attract all kinds of talents in the society and adopt effective talent management process to screen talents. finally, …
Application of Data Mining in the Field of Human Resource …
Data mining methods for human resource management are mainly classification methods, cluster analysis, association analysis, regression analysis, and neural networks.
Application of Data Mining Technology (DMT) in Human …
Specifically, it is to give full play to the important value of big data in human resource management, sort out and analyze relevant human data, find the data basis for the spe- cific …
AN ADAPTIVE PERSONNEL SELECTION MODEL FOR …
To support organizations in structuring personnel selection strategy for recruitment, various researches have been conducted using data mining approaches, and selection models …
HR Analytics: A Literature Review and New Conceptual Model
Key words: HR Data Mining, Human Resource Management, Long-Term Success, and Organizational Advantage. Kirtane suggests a range of sustainable HRM strategies, including …
A Novel Data Mining Approach towards Human Resource …
This paper proposes a data mining-based performance appraisal framework, to conduct an automatic and comprehensive assessment of the em-ployees on their working ability and job …
HUMAN RESOURCES MANAGER'S DECISION MAKING …
This study provides an example of how Human Resource Managers can use the Data Mining method as a future research method, specifically: Estimation, Prediction, Clustering, and …
Big data and human resource management: paving the way …
Throughout tools such as data mining and business analytics, techniques that use algorithms to analyze enormous quantities of data such as information on "employment history, skills and …
Innovative Applications of Big Data in Human Resource …
Jan 29, 2024 · In the literature review, this paper begins by discussing the definition and characteristics of big data and its applications in corporate management. Simultaneously, the …
Design of enterprise human resources decision support …
This paper designs an enterprise human resource decision support system based on data mining to more effectively support human resource management business information, data …
Data Mining Classification Techniques for Human Talent …
study attempts to use data mining classification techniques to forecast potential employees as substantial of talent management task using the past experience knowledge. HR Task Data …
Construction of Human Resource Manager Competency …
(1) Innovative Topic Selection: This paper pioneers a unique approach by combining data mining with human resource management personnel competency. By integrating insights from both …
Role of Data Analytics in Human Resource Management for …
These evidence/trends can be analyzed using analytics that includes application modern business analytics techniques like data mining to human resources data. In continuation to this …
Design and Implementation of Enterprise Human Resource …
Data mining technology selects the data information related to human resource management from a large number of per-sonnel, and grasps the correlation and mode between the data, so as to …
HR People Data Analytics Using Power Bi Data Visualization …
By identifying this demand, the study aims to increase the ability to identify employee churn using POWER BI with the help of real-time data insights in dashboards for HR management.HR …
Research on Optimization Strategies of Human Resources …
Data mining, as an effective data analysis tool, can identify valuable patterns and relationships from large amounts of complex data, thereby providing sci-entific basis for human resource …
Innovative application of big data in enterprise human …
Jan 13, 2023 · In enterprise human resource management, the application of big data analysis can not only innovate our current human resource management model, but also effectively …
A Novel Data Mining Approach Towards Human Resource
This paper proposes a data mining-based performance appraisal framework, to conduct an automatic and comprehensive assessment of the employees on their working ability and job …
International Journal of Information Technologies and …
Cross-Cultural Background, Data Mining, Human Resource Managers, Competencies With the deepening of globalization, enterprises are facing more and more cross-cultural ... by building a …
Innovative application of big data in enterprise human …
Jan 13, 2023 · 5. Strategies for Innovative Application of Big Data in Human Resource Management . 5.1. Big Data and Enterprise Human Resource Management Concept In the era …
Application of Data Mining in the Field of Human Resource …
Keywords: Data Mining; Human Resource Management; Review. 1. Introduction Data mining is an effective means of obtaining useful information by identifying data features. Human resources …
HRIS with Decision Support for Faculty Appraisal and Promotion
Keywords: Classification Technique, Data Mining, Human Resource Management, Information System. I. INTRODUCTION T he development of a decision-making model for Human …
Scalable Computing: Practice and Experience, ISSN 1895 …
Key words: ig Data Mining, Human Resource Management, Ethical Considerations, Feedforward Neural Network, Workforce Optimization 1. Introduction. Within the modern trade landscape, …
Reframing talent identification as a status‐organising process ...
through data mining Sanne Nijs1 | Nicky Dries2,3 | Véronique Van Vlasselaer4 | Luc Sels1 1Department Human Resource Studies, Tilburg University, Tilburg, The Netherlands …
Application of the Data Mining in the University Human …
of data mining. We make sure that human resource plays an important role and we will achieve the goal of promoting universities’ comprehensive strength. C. Problems Existed in the Process …
USA - davenport.edu
Aug 15, 2022 · • Certified Management Accountant • General Finance Management Master of Business Administration Master of Business Administration with concentrations in: • Data …
Management and Business Research Quarterly
human resource is in such a way that people are placed in the most appropriate posts in schools and educational centers. Keywords: Data Mining, Talent Management, Human Resource …
The Role of Human Resource Analytics in Enhancing Employee
Human Resource Analytics (HRA) has revolutionized performance management by providing data-driven insights into employee productivity, behavior, and overall contribution to …
HR MetRics and W a - SAGE Publications Inc
greater access to data through the adoption of integrated human resource infor-mation systems, organizations are engaging in more consistent and systematic reporting of HR metrics. …
The Involvement of Human Resources in Large Scale Data …
The data engineer is the main human resource responsible and uses assistance from the data analyst who was part of the development team of the hypotheses and/or the objectives.
Construction of Human Resource Manager Competency …
competency of human resource management personnel through data mining technology in a cross-cultural setting. It articulates the research purpose, methodology, and the innovations …
A data mining approach to employee turnover prediction …
friendliness. Furthermore the importance of data features is measured by Pearson Chi-Square test. In order to reach the desired user friendliness, a graphical user interface is designed …
Using Market Basket Analysis in Management Research
Mar 28, 2012 · data-mining technique that originated in the field of marketing and more recently has been used effectively in other fields, such as bioinformatics, nuclear science, …
Design and Implementation of Enterprise Human Resource
272 N. He technology. Data mining is the effective mining of human resource management data afterconversion.Intheprocessofmining,besidestheprocessingandminingalgorithm,
Effect of Human Resource Management Practices on …
examine the human resource management practices that employees of the mining industry in Ghana see as important in urging them to stay on in their places of work. It also sought to …
Evaluation and analysis of human resource management …
Human resource management is the cornerstone of enterprise success. In the pro-cess of enterprise management and control, the design of human resource manage-ment mode is a …
Aplicaciones de la Analítica y la Minería de Datos en la …
research in the application of analytics and data mining in order to solve the problems and support decision making of professionals in this area. Keywords: analytics, data mining, Human …
Vidyabharati International Interdisciplinary Research Journal …
Keywords: Artificial intelligence, Data mining, Human resource management, Robotic implementation ... situation, data mining helps the human resource management of an …
A Review of Literature on Water Resource Management …
collection of data, data abstraction, cleaning, use of Data mining tools to find patterns and verification, visualization of the model etc. are known as of Knowledge Discovery in Database …
[Retracted] Research on Enterprise HRM Effectiveness …
in the process of human resource management, and evalu-ates HRM efficiency by collecting data, summarizing results, and analyzing and mining data. The involvement of human resource …
Human Resources Data Specialist - Cloudinary
Data Specialist may supervise and evaluate a team of Human Resource Department staff that may include other management positions, as well as support staff engaged in highly technical …
Image Clustering Algorithm and Its Application in Human …
Image Clustering Algorithm, Data Mining, Human Resource Management, Application Research. I. INTRODUCTION . A. BACKGROUND AND SIGNIFICANCE . With the advent of the era of …
Data analysis framework of tourism enterprise human …
the development of human resource work convenient and ecient, and further improves the level of human resource management. This paper introduces the design of distributed database and …
Research on Artificial Intelligence in Human Resource …
Human Resource Management (HRM) contributes to more capability, diverse insights, and analytical support to enhance people management. This study presents an integrated ... such …
The Influence of Human Resource Management Practiceto …
The Influence of Human Resource Management Practiceto Organizational Performance by Mediating Effect of Knowledge Management and Talent Management at Coal Mining Industry …
Data Mining for Network Management in Mobile-aware …
Outline I 1 Reducing Inconsistency between Software-De ned Networking Controllers [12] Logically-centralized controller in SDN networks Consistency models Proposed scheme …
Human Resource Allocation in Business Process …
of BPM, Process Mining and human resource allocation is documented in Section 2. Section 3 explains the need to perform an SMS. Section 4 describes the process followed
Big Data, Machine Learning und K nstliche Intelligenz - JSTOR
Keywords: big data, machine learning, workers participation, data mining, human ressource management, data privacy, data collection Andree Thieltges, M.A., ist wissenschaftlicher …
Human Resource challenges in managing human capital at a …
Human Resource challenges in managing human capital at a mining organisation in Free State Lipuo Mofokeng Student number: 2492392 A research project submitted to the Faculty of …
HUMAN RESOURCES MANAGEMENT - assmang.co.za
HUMAN RESOURCES MANAGEMENT HOW WE MANAGE HUMAN CAPITAL The Group Executive: Human Resources is the senior executive ... Mining Qualifications Authority Skills …
Image Clustering Algorithm and Its Application in Human …
Image Clustering Algorithm, Data Mining, Human Resource Management, Application Research. I. INTRODUCTION . A. BACKGROUND AND SIGNIFICANCE . With the advent of the era of …
Innovative Applications of Big Data in Human Resource …
Jan 29, 2024 · Applications of Big Data in Human Resource Management . The emergence of Big Data technology has ushered in a new era of possibiliti. es and challenges . ... comprehending …
Investigating the Link between Web Data Mining and …
Keywords: Web data mining, Human resource, ... Chang and Huang (2005) mentioned in their article the recent studies which examined strategic human resource management (SHRP) as a …
E of thE JDl MoDEl - ISIF
Jun 6, 2023 · the partitioning scheme, and explore relationships of data/ information fusion with resource management, data mining, human situation awareness, and decision-making [5]. …
A data mining approach to employee turnover prediction …
friendliness. Furthermore the importance of data features is measured by Pearson Chi-Square test. In order to reach the desired user friendliness, a graphical user interface is designed …
Effect of human resource management practices on …
The purpose of the study was to identify frequently used human resource management activities in the mining industry in Ghana and their effect on employee retention. The study collected …
Big data contributions to human resource management: a …
analysed through text mining (Frank & Paynter, 2004). ... The use of data in Human Resource Management (HRM) has evolved over time (Roberts, 2013), from basic metrics to BD through …
Data Mining for Human Resource Information Systems
Data mining may be regarded as an evolving approach to data analysis in very large databases that could become a useful tool to HR professionals. Data mining involves extracting …
AI-HRM: Artificial Intelligence in Human Resource …
human resource management (HRM) in today's competitive business environment. AI has the potential to revolutionize HRM practices by automating ... In this study, technologies such as …
Detecting Subjectivity in Staff Performance Appraisals Using …
As human resources are the resources that carry out many important activities in an organization, Human Resource Management (HRM) should catch up with the latest developments to …
The Handbook Of Data Mining Human Factors And …
The Handbook Of Data Mining Human Factors And Ergonomics: ... also an excellent resource for graduate level courses on data mining and decision and expert systems methodology The ...
In Press, Sage Handbook of Human Resource Management …
In Press, Sage Handbook of Human Resource Management (2nd edition), Wilkinson, A., Bacon, Lepak, L., & Snell, S. (Eds.). BIG DATA AND HUMAN RESOURCE MANAGEMENT ... The …
The Handbook Of Data Mining Human Factors And …
also an excellent resource for graduate level courses on data mining and decision and expert systems methodology The Handbook of Data Mining Nong Ye,2004-11-19 Created with the …
The Handbook Of Data Mining Human Factors And …
also an excellent resource for graduate level courses on data mining and decision and expert systems methodology The Handbook of Data Mining Nong Ye,2004-11-19 Created with the …
Chapter 12: The Transformation of Human Resource …
The Transformation of Human Resource Management and Its Impact on Overall Business Performance: Big Data Analytics and AI Technologies in Strategic HRM Cemal Zehir, Tuğba …
Reducing Work-Related Stress Through Soft-Skills Training …
mining, human capital INTRODUCTION Work-Related Stress and Miners’ Stress Work-related stress is a psychological state where a worker’s resources are subjectively ... leadership, self …
Research on Intelligent Analysis of Port Logistics Information …
units can use data mining to obtain tens of thousands of resource information such as production business, energy management, charge management, human resource management, …
Design and Implementation of Enterprise Human Resource …
Keywords: Data Mining · Human Resource Management · Decision Support 1 Introduction Under the background of information technology, most colleges and universities have established …
