Introduction to Data Mining and Knowledge Discovery

Herbert A. Edelstein9781892095022, 1892095025

A readable introduction aimed at business users who want a clear, non-technical overview of the techniques and capabilities of data mining. A valuable educational tool for prospective users of this exciting new technology.Topics covered include Data Description for Data Mining, Predictive Data Mining, Data Mining Models and Algorithms, The Data Mining Process, and Selecting Data Mining Products.

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Table of contents :
Data mining: What it can’t do……Page 5
Data mining and data warehousing……Page 6
Data mining and OLAP……Page 7
Data mining and hardware/software trends……Page 8
Successful data mining……Page 9
Clustering……Page 10
Link analysis……Page 11
A hierarchy of choices……Page 13
Time series……Page 14
Neural networks……Page 15
Decision trees……Page 18
Rule induction……Page 21
K-nearest neighbor and memory-based reasoning (MBR)……Page 22
Discriminant analysis……Page 23
Boosting……Page 24
Genetic algorithms……Page 25
The Two Crows Process Model……Page 26
Basic capabilities……Page 38
Summary……Page 40
Data Mining ’99: Technology Report……Page 2
Related Readings……Page 4