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Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems)

Sholom M. Weiss, Nitin Indurkhya




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 | #2563499 in Books |  Morgan Kaufmann |  1997-08-15 | Original language:English | PDF # 1 |  9.02 x.51 x5.98l,.87 | File type: PDF | 228 pages

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||0 of 0 people found the following review helpful.| Comprehensive coverage but not an easy read|By S. Bom|A dry read. Great concepts. But you almost need supplementary material with more depth if you want to get a handle around all that it tries to cover. I picked it up because I thought it would be a good and easy refresher. Good it was, easy it was not. More practical examples would have helped. The best chapter was the last|.com |Data mining is a hot technology, and this short, authoritative guide shows how it works and why it is gaining ground in the worlds of finance, manufacturing, marketing, and health care. The book begins by exploring the links between "big data"--the data w

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles―and their practical manifestations―in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for devel...

You easily download any file type for your gadget.Predictive Data Mining: A Practical Guide (The Morgan Kaufmann Series in Data Management Systems)   |  Sholom M. Weiss, Nitin Indurkhya. I really enjoyed this book and have already told so many people about it!

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