Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications by Robert Nisbet (Author), John Elder IV (Author), Gary Miner (Author). The Handbook of Statistical Evaluation and Knowledge Mining Functions is a comprehensive professional reference guide that guides business analysts, scientists, engineers and researchers (both tutorial and industrial) by way of all levels of data evaluation, model constructing and implementation. The Handbook helps one discern the technical and enterprise downside, perceive the strengths and weaknesses of contemporary data mining algorithms, and make use of the correct statistical methods for practical application. Use this ebook to handle huge and complex data sets with novel statistical approaches and have the ability to objectively evaluate analyses and solutions.

It has clear, intuitive explanations of the rules and tools for fixing issues using fashionable analytic techniques, and discusses their software to real problems, in methods accessible and beneficial to practitioners across industries - from science and engineering, to drugs, academia and commerce. This handbook brings collectively, in a single useful resource, all the data a beginner might want to perceive the tools and points in information mining to construct profitable data mining solutions.

Written "By Practitioners for Practitioners"

-Nontechnical explanations build understanding without jargon and equations

-Tutorials in quite a few fields of examining present step-by-step instruction on how to use equipped instruments to build fashions utilizing statistics, SAS and SPSS software program

-Sensible recommendation from profitable real-world implementations

Consists of in depth case research, examples, MS PowerPoint slides and data sets

-CD-DVD with precious fully-working 90-day software included: "Full Information Miner - QC-Miner - Text Miner" bound with the book

This can be a nice book that I recommend everyone to have, from inexperienced persons to advanced knowledge and/or business analysts. It covers a wide range of matters, introduced in a rigorous but, on the similar time, very fascinating way. Most of the matters coated are augmented with some real life examples in addition to good quality images which give the e-book a special flavour. This ebook is now part of my "often consulted books" shelf.

I like this book as a useful resource to make use of during information mining projects. It's for a good review and exploration of methods to reinforce the methods that I'm most acquainted with. I especially respect the practical application examples contained within the book. They provide sufficient element to get a really feel for whether or not the strategies might be applied to other projects we are working on. 

Handbook of Statistical Analysis and Data Mining Applications 

 Robert Nisbet (Author), John Elder IV (Author), Gary Miner (Author)

864 pages

Academic Press; 1 edition (June 5, 2009)

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