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Publisher: World Scientific
Language: English
ISBN: 9812568026
Paperback: 236 pages
Data: 2006
Format: PDF
Description: This book is a series of seventeen edited “student-authored lectures” which explore in depth the core of data mining (classification, clustering and association rules) by offering overviews that include both analysis and insight. The initial chapters lay a framework of data mining techniques by explaining some of the basics such as applications of Bayes Theorem, similarity measures, and decision trees. Before focusing on the pillars of classification, clustering and association rules, the book also considers alternative candidates such as point estimation and genetic algorithms.

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