Front Cover
PHI Learning Pvt. Ltd., Jan 1, 2006 - Computers - 420 pages
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Data Mining is an emerging technology that has made its way into science, engineering, commerce and industry as many existing inference methods are obsolete for dealing with massive datasets that get accumulated in data warehouses. This comprehensive and up-to-date text aims at providing the reader with sufficient information about data mining methods and algorithms so that they can make use of these methods for solving real-world problems. The authors have taken care to include most of the widely used methods in data mining with simple examples so as to make the text ideal for classroom learning. To make the theory more comprehensible to the students, many illustrations have been used, and this in turn explains how certain parameters of interest change as the algorithm proceeds. Designed as a textbook for the undergraduate and postgraduate students of computer science, information technology, and master of computer applications, the book can also be used for MBA courses in Data Mining in Business, Business Intelligence, Marketing Research, and Health Care Management. Students of Bioinformatics will also find the text extremely useful. CD-ROM INCLUDE’ The accompanying CD contains Large collection of datasets. Animation on how to use WEKA and ExcelMiner to do data mining.

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About the author (2006)

SOMAN, K. P. K. P. SOMAN (Ph.D., IIT Kharagpur) is Head, Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore. He has published over 125 papers in international journals and conferences. His areas of interest include high performance computing, Machine learning, wavelet transform, Computational Linear Algebra, Theory of Convex Optimization and Software Defined Radio. Dr Soman has co-authored two other books, Insight into Data Mining: Theory and Practice and Machine Learning with SVM and other Kernel Methods, both published by PHI Learning. DIWAKAR, SHYAM SHYAM DIWAKAR is a Research Associate at Neurophysiology Labs, Pavia, Italy. AJAY, V. V. AJAY is a Research Associate at Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore. His research interests include sparse matrix computations, data mining, and high performance computing

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