introduction to data mining pdf
Database / February 4, 2018

introduction to data mining pdf is book written by PANG NING TAN, MICHAEL STEINBACH, and VIPIN KUMAR in 2006 by  Pearson Education, Inc. This book consists of 792 pages and contains 10 chapters starting from Introduction than data, Exploring Data, Classification of Basic Concepts, Decision Trees, and Model Evaluation, Classification of Alternative Techniques, Association Analysis of Basic Concepts and Algorithms, Association Analysis of Advanced Concepts, Cluster Analysis of Basic Concepts and Algorithms, Cluster Analysis of Additional Issues and Algorithms, and  Anomaly Detection. Apart from these chapters there are five appendixes starting from A to E named as Linear Algebra, Dimensionality Reduction, Probability and Statistics, Regression, and Optimization. About the authors of introduction to data mining pdf: Dr Pang-Ning Tan is a Professor in the Department of Computer Science and Engineering at Michigan State University. He got his M.S. degree in Physics and Ph.D. degree in Computer Science from University of Minnesota. His exploration advantages center around the advancement of novel information digging calculations for an expansive scope of utilizations, including atmosphere and natural sciences, cybersecurity, and system examination. He has distributed more than 130 specialized papers in the territory of information mining, including top meetings and diaries, for example, KDD, ICDM, SDM, CIKM, and TKDE. He additionally filled in as partner editorial manager…