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INSIGHT INTO DATA MINING: THEORY AND PRACTICE - ABOUT AUTHOR(S)


V. AJAY (B.E., M.Tech) is Research Scholar, Department of Mechanical Engineering, Purdue University, USA. He has co-authored the book Insight into Data Mining: Theory and Practice—published by PHI Learning. His areas of interest include nano-material simulation, computational linear algebra and optimization.


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.


SHYAM DIWAKAR is a Research Associate at Neurophysiology Labs, Pavia, Italy.


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


AJAY, V.

 
 

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