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Human Capital Systems Analytics And Data Mining

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Human Capital Systems Analytics And Data Mining

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Author : Robert C. Hughes
language : en
Publisher: CRC Press
Release Date : 2018-09-03

Human Capital Systems Analytics And Data Mining written by Robert C. Hughes and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Business & Economics categories.

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.

Human Capital Systems Analytics And Data Mining

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Author : Robert C. Hughes
language : en
Publisher: CRC Press
Release Date : 2018-09-03

Data Science And Analytics With Python

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Author : Jesus Rogel-Salazar
language : en
Publisher: CRC Press
Release Date : 2025-06-03

Data Science And Analytics With Python written by Jesus Rogel-Salazar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-03 with Computers categories.

Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development within the fields of Artificial Intelligence and Machine Learning. This surge has led to the widespread adoption of the book, not just among business practitioners, but also by universities as a key textbook. In response to this growth, this new edition builds upon the success of its predecessor, expanding several sections, updating the code to reflect the latest advancements in Python libraries and modules, and addressing the ever-evolving landscape of generative AI (GenAI). This updated edition ensures that the examples and exercises remain relevant by incorporating the latest features of popular libraries such as Scikit-learn, pandas, and Numpy. Additionally, new sections delve into cutting-edge topics like generative AI, reflecting the advancements and the expanding role these technologies play. This edition also addresses crucial issues of explainability, transparency, and fairness in AI. These topics have rightly gained significant attention in recent years. As AI integrates more deeply into various aspects of our lives, understanding and mitigating biases, ensuring fairness, and maintaining transparency become paramount. This book provides comprehensive coverage of these topics, offering practical insights and guidance for data scientists and analysts. Designed as a practical companion for data analysts and budding data scientists, this book assumes a working knowledge of programming and statistical modelling but aims to guide readers deeper into the wonders of data analytics and machine learning. Maintaining the book's structure, each chapter stands alone as much as possible, allowing readers to use it as a reference as well as a textbook. Whether revisiting fundamental concepts or diving into new, advanced topics, this book offers something valuable for every reader.

Application Of Intelligent Systems In Multi Modal Information Analytics

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Author : Vijayan Sugumaran
language : en
Publisher: Springer Nature
Release Date : 2020-07-20

Application Of Intelligent Systems In Multi Modal Information Analytics written by Vijayan Sugumaran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-20 with Technology & Engineering categories.

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 Science And Innovations For Intelligent Systems

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Author : Kavita Taneja
language : en
Publisher: CRC Press
Release Date : 2021-09-30

Data Science And Innovations For Intelligent Systems written by Kavita Taneja and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with Computers categories.

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.

Human Capital Analytics

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Author : Deepa Gupta
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-24

Human Capital Analytics written by Deepa Gupta and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.

The book equips readers with essential insights and strategies for leveraging cutting-edge technology and human capital analytics, ensuring organizations thrive in the era of human-robot collaboration and sustainable workforce development. Human Capital Analytics: Exploring the HR Spectrum in Industry 5.0 provides a comprehensive investigation into the ever-changing junction of human capital and cutting-edge technology in the context of the Fifth Industrial Revolution. This volume emphasizes the revolutionary role that human capital analytics plays in changing workforce management, talent development, and HR strategies. This position is particularly relevant as organizations transition into Industry 5.0, where human-robot collaboration is the norm. The purpose of this book is to provide a forward-looking perspective on how data-driven human resource strategies will become vital for boosting worker potential and driving organizational success. This is accomplished by integrating developing technologies such as artificial intelligence, machine learning, and robots. Readers will find that this book: Explores the transformative role of human-robot collaboration, emerging technologies, and strategic HR planning in the context of the Fifth Industrial Revolution; Provides a comprehensive overview of how predictive analytics and human capital analytics can enhance workforce management, employee engagement, and performance measurement; Focuses on how HR 5.0 contributes to advancing the United Nations Sustainable Development Goals, driving both social and business impact; Includes empirical studies, case studies, and real-world examples of implementing Industry 5.0 in organizations; Provides actionable strategies for HR professionals to navigate the digital transformation of human resource management, incorporating AI, robotics, and data-driven approaches. Audience Human resource developers, analysts, professionals, business executives, data scientists, consultants, professors, academics, and students exploring ways to leverage technology for Industry 5.0.

Human Capital

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Author : Sally Coleman Selden
language : en
Publisher: CQ Press
Release Date : 2008-07-21

Human Capital written by Sally Coleman Selden and has been published by CQ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-21 with Political Science categories.

With the shift from "human resources" to "human capital management" (HCM), public agencies are striving to strategically manage their workforces. Sally Selden’s groundbreaking book moves far beyond describing best practices and offers the context in which innovative practices have been implemented. She details how agencies are creating performance-aligned workforces by adopting systems and policies that are driven by their strategic missions. This book covers core topics of personnel courses—including hiring, training, retention, performance, and recognition—but also includes integrated coverage on measuring success through assessment. Further helping readers grasp how HCM works, the book uses original data from the Government Performance Project and incorporates many comparative examples across a wide range of states, plus federal and municipal agencies. Unlike anything else available, Human Capital fills a critical gap for both students and public personnel professionals.

Developments In Information And Knowledge Management Systems For Business Applications

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Author : Peter Štarchoň
language : en
Publisher: Springer Nature
Release Date : 2025-03-01

Developments In Information And Knowledge Management Systems For Business Applications written by Peter Štarchoň and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.

In this series, we delve into the challenges and opportunities of managing business information efficiently. We explore various aspects of information processing for effective enterprise management, including methods, techniques, and strategies. Our goal is to provide solutions for competent information management that increases business usage, while also analyzing strategies to reduce data loss and improve customer satisfaction and maintenance levels. Our book offers practical knowledge on different facets of information and knowledge management in businesses, such as information processing theory and models, the benefits and implementation challenges of information/knowledge business, and information management methods for creating a global information society. We also cover topics such as collecting and analyzing data for enterprise management, modern business intelligence solutions and data management, information marketing, and innovative development of the enterprise information system. Our focus is on applications, benefits, and encounters within the field of efficient business information processing, and we offer solutions to increase performance using the latest IT technologies.

Machine Learning For Data Science Handbook

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Author : Lior Rokach
language : en
Publisher: Springer Nature
Release Date : 2023-08-17

Machine Learning For Data Science Handbook written by Lior Rokach and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-17 with Computers categories.

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Designing Workforce Management Systems For Industry 4 0

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Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2023-10-11

Designing Workforce Management Systems For Industry 4 0 written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-11 with Business & Economics categories.

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.

Human Capital Systems Analytics And Data Mining

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