Introduction.- Proactive Data Mining: A General Approach.- Proactive Data Mining Using Decision Trees.- Proactive Data Mining in the Real World: Case Studies.- Sensitivity Analysis of Proactive Data Mining.- Conclusions.
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From the book reviews:
“This concise (88 page) book introduces readers to the basic concepts of proactive data mining with decision trees. ... The book is very well written, easy to understand, and easy to follow. Each chapter is well organized. ... The book is especially useful for practitioners who would like to get started in using data mining tools for business applications.” (Xiannong Meng, Computing Reviews, October, 2014)"About this title" may belong to another edition of this title.
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