DATA MINING: TECHNIQUES AND TRENDS
About this ebook
Written in a student-friendly style, the book describes the various phases of data mining, architecture of a data mining system, and the types of knowledge that can be mined from databases. It elaborates on different data preprocessing techniques such as cleaning, integration, transformation and reduction. The text then explains the various data mining techniques such as association rule mining, data classification and clustering. The book adopts an algorithm-centric approach presenting various algorithms for these data mining techniques. Finally, the text ends with an exhaustive discussion on multimedia data mining (MDM).
Key Features :
Illustrates the concepts with the help of various figures and examples.
Provides a summary at the end of each chapter for quick revision of key points.
Offers chapter-end questions for self-evaluation.
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About the author
N.P. GOPALAN, PhD (IISc) is Professor in the Department of Computer Applications, National Institute of Technology, Tiruchirapalli. He has over 26 years of experience in the field of computer applications.
B. SIVASELVAN, Ph.D., is Assistant Professor, Indian Institute of Information Technology, Design and Manufacturing Kancheepuram, IIT Madras Campus, Chennai. Recipient of AICTE’s National Doctoral Fellowship (NDF) and Early Faculty Induction Programme (EFIP) Fellowship, Dr. Sivaselvan has over eight years of teaching and research experience. He has about eight publications to his credit in conferences and journals. He is the co-author of three other books with Professor N.P. Gopalan, all published by PHI Learning, New Delhi.
His areas of interest are data mining, formal methods, artificial intelligence and data structures.
