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Data Mining and Statistics for Decision Making by Stéphane Tufféry is a nonfiction available to read on EtoBox.

What is Data Mining and Statistics for Decision Making about?

<p>Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives.</p> <p>This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations.</p> <p>&nbsp;Key Features:</p> <ul> <li>Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques.</li> <li>Starts from basic principles up to advan

Who reads Data Mining and Statistics for Decision Making?

Author

Stéphane Tufféry

Publisher

Wiley & Sons, Limited, John

Published

2011

Language

EN

ISBN

9780470979167

Category

nonfiction

Subjects

Mathematics, Computer Science, Programming