Data mining Books

Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories.This book offers insights into data journalism from a global perspective,...

The primary goal of this book is to address the issues faced by teachers in the adoption of digital tools into their teaching and their students learning. This book also addresses the issues...

Social Media Analytics and Practical Applications: The Change to the Competition Landscape provides a framework that allows you to understand and analyze the impact of social media in various...

This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the...

The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize...

This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have...

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role...

This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the...

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some...

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some...

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data...

Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts,...

Challenges and Opportunities in Artificial Intelligence: Engineering and Management Applications presents a comprehensive exploration of how Artifical Intelligence (AI) is transforming modern...

The book focuses on the application of advanced computing methods and technologies to various engineering disciplines, including reasoning, knowledge representation, and the development of new...

The development of novel techniques that can easily extract information from the joint observations of measurements coming from many modalities is necessary to realise the full potential of...

The development of novel techniques that can easily extract information from the joint observations of measurements coming from many modalities is necessary to realise the full potential of...

The International Conference on Data-Driven AI (ICDDA 2025) is a global platform dedicated to advancing the transformative potential of Artificial Intelligence (AI) and its interdisciplinary...

This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.This...

Innovation and Knowledge Management in Manufacturing Industry: Case Studies and Applications is a valuable resource to organizations in the modern manufacturing setting where change is fast,...

This book concentrates on mining networks, a subfield within data science. Many data science problems can be viewed as a study of some properties of complex networks in which nodes represent the...

This book provides a comprehensive exploration of how artificial intelligence and digital health innovations are reshaping cancer care across Africa. Beginning with the foundational epidemiological...

This book explores one of the most critical and emerging fields in artificial intelligence (AI): machine unlearning. As data privacy concerns grow and regulations like GDPR (General Data Protection...

This book concentrates on mining networks, a subfield within data science. Many data science problems can be viewed as a study of some properties of complex networks in which nodes represent the...

In this second edition Data + Journalism continues to be a practical guide for journalists working with data and reporting data-driven stories.The second edition of this popular text has been updated...

In this second edition Data + Journalism continues to be a practical guide for journalists working with data and reporting data-driven stories.The second edition of this popular text has been updated...

This book explores two converging technological frontiers: advanced conversational AI and space-based computing systems. The chat bot section examines progress in conversational AI, its implications...

Science Ltd. examines the evolving relationship between scientific knowledge, technology, and society in an era where deep-tech companies are increasingly driven by discoveries rather than market...

This book aims to fully demonstrate the burnout of learners in online learning processes. The authors propose a series of feasible and reliable solutions to sufficiently obtain and analyze massive...

In a rapidly evolving landscape of educational research, explainable artificial intelligence (XAI) and interpretable machine learning (IML) are emerging as pivotal tools that enhance transparency,...

Science Ltd. examines the evolving relationship between scientific knowledge, technology, and society in an era where deep-tech companies are increasingly driven by discoveries rather than market...

This proceedings compilation emerges from the exchange of research insights and innovative ideas among academicians, researchers, practitioners, and students in the field of computer science.This...

A comprehensive compilation that explores a wide range of applications where deep learning techniques have had impact and its practical uses. The book covers fields like healthcare, finance,...

As artificial intelligence (AI) permeates day-to-day life—influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering...

In today's interconnected world, advancing language education and communication skills is crucial for personal growth, career prospects, and cross-cultural understanding. The integration of AI in...

Healthcare is fundamentally different from other domains where AI has achieved remarkable success. When an AI system recommends a treatment, suggests a diagnosis, or flags a patient for intervention,...

As artificial intelligence (AI) permeates day-to-day life—influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering...

This handbook offers a thorough examination of the ever-changing landscape of cybersecurity, exploring the critical challenges and innovative solutions that shape the field during the era of digital...

Data analytics and generative AI (GenAI) are transformative technologies that play a critical role in modern decision-making and innovation. Data analytics enables organizations to extract actionable...

Healthcare is fundamentally different from other domains where AI has achieved remarkable success. When an AI system recommends a treatment, suggests a diagnosis, or flags a patient for intervention,...

This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks,...

Healthcare organizations are utilizing big data for improved data analytics and performance measurements. This book provides a comprehensive framework integrating 41 components, emphasizing data...

This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in...

This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with...

In today's rapidly evolving business landscape, effective leadership is increasingly synonymous with adept digital strategy.Digital Leadership: Integrating Technology for Organizational Success...

This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration...

The book covers theoretical foundations on how LLMs can enhance learning, cognitive reinforcement, improving learning efficiency, and personalization in learning, applications across the curriculum,...

Users expect proper explanation and interpretability of all the decisions being taken by machine and deep learning (ML/ DL) algorithms. Interpretable and Trustworthy AI: Techniques and Frameworks...

Industry 4.0 and 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and...