Data Mining in the Era of Big Data and AI BY Dr. G. Ravi, Dr. D. Radha, Dr. Madduru Sambasivudu, Ms. Bharathi Niruti

The exponential growth of digital data, driven by advancements in computing, communication technologies, and artificial intelligence, has transformed the way information is generated, stored, and analyzed. In today’s data-driven world, data mining has emerged as a core discipline that enables the extraction of meaningful patterns, knowledge, and insights from massive and complex datasets. When combined with Big Data technologies and Artificial Intelligence (AI), data mining plays a vital role in decision-making, prediction, automation, and intelligent system development across diverse domains.
The book “Data Mining in the Era of Big Data and AI” is designed to provide a comprehensive and contemporary understanding of data mining concepts, methodologies, and applications in the modern technological landscape. This multi-author volume brings together the expertise of academicians, researchers, and industry professionals to present both theoretical foundations and practical insights aligned with current industry demands and research trends.
The primary objective of this book is to bridge the gap between traditional data mining techniques and modern AI-driven analytical approaches. It offers in-depth coverage of essential topics such as data preprocessing, classification, clustering, association rule mining, predictive analytics, machine learning integration, deep learning approaches, big data frameworks, and real-world case studies. Special emphasis is given to scalable data mining techniques using platforms such as Hadoop, Spark, and cloud-based analytics, reflecting the realities of large-scale data processing.
This book is structured in a systematic and reader-friendly manner, enabling students, researchers, and professionals to progressively build their understanding from fundamental concepts to advanced applications. Each chapter is contributed by subject experts and includes clear explanations, illustrative examples, diagrams, and references to recent research developments. The content has been carefully curated to support undergraduate and postgraduate students, research scholars, faculty members, and industry practitioners working in data science, artificial intelligence, and related fields.
In the era where data is considered the new oil, the integration of AI-driven intelligence with data mining techniques is redefining decision-making processes across domains such as healthcare, finance, education, cybersecurity, smart cities, and business analytics. This book aims to equip readers with the knowledge and skills necessary to analyze large-scale data efficiently and to develop intelligent systems capable of solving real-world problems.
The editors sincerely acknowledge the valuable contributions of all authors who have shared their expertise and research insights in this volume. Their collective efforts have made this book a comprehensive and insightful resource. We also extend our gratitude to the reviewers and publishing team for their support and guidance in bringing this work to fruition.
We hope that this book will serve as a valuable academic reference and a practical guide for learners and professionals, inspiring further research and innovation in the dynamic field of data mining and artificial intelligence.