Data Mining and Business Analytics with R

Amazon.com Price: $74.33 (as of 11/10/2019 08:52 PST- Details)

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Description

Collecting, analyzing, and extracting valuable information from a considerable amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. Because of this, readers are provided with the needed guidance to model and interpret complicated data and develop into adept at building powerful models for prediction and classification.

Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. As well as, the book presents:

• A thorough discussion and extensive demonstration of the theory in the back of the most useful data mining tools

• Illustrations of how to use the outlined concepts in real-world situations

• Readily to be had additional data sets and related R code allowing readers to apply their own analyses to the discussed materials

• A large number of exercises to assist readers with computing skills and deepen their understanding of the material

Data Mining and Business Analytics with R is a wonderful graduate-level textbook for courses on data mining and business analytics. The book could also be a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

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