By Stéphane Tufféry
This ebook appears at either classical and up to date strategies of information mining, similar to clustering, discriminant research, logistic regression, generalized linear versions, regularized regression, PLS regression, determination bushes, neural networks, help vector machines, Vapnik concept, naive Bayesian classifier, ensemble studying and detection of organization principles. they're mentioned in addition to illustrative examples through the e-book to provide an explanation for the idea of those tools, in addition to their strengths and limitations.
Presents a entire creation to all innovations utilized in information mining and statistical studying, from classical to most modern techniques.
Starts from simple rules as much as complex concepts.
Includes many step by step examples with the most software program (R, SAS, IBM SPSS) in addition to a radical dialogue and comparability of these software.
Gives sensible suggestions for info mining implementation to resolve genuine global problems.
Looks at a variety of instruments and purposes, comparable to organization ideas, net mining and textual content mining, with a different specialise in credits scoring.
Supported through an accompanying internet hosting datasets and consumer analysis.
Statisticians and enterprise intelligence analysts, scholars in addition to machine technological know-how, biology, advertising and fiscal possibility pros in either advertisement and govt organisations throughout all enterprise and sectors will reap the benefits of this book.
Read Online or Download Data Mining and Statistics for Decision Making (Wiley Series in Computational Statistics) PDF
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