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Data Mining and Business Analytics with R (Hardcover)
Loot Price: R4,156
Discovery Miles 41 560
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Data Mining and Business Analytics with R (Hardcover)
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Collecting, analyzing, and extracting valuable information from a
large 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. As a result, readers are provided with the needed
guidance to model and interpret complicated data and become 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. In addition, the book presents: A thorough
discussion and extensive demonstration of the theory behind the
most useful data mining tools Illustrations of how to use the
outlined concepts in real-world situations Readily available
additional data sets and related R code allowing readers to apply
their own analyses to the discussed materials Numerous exercises to
help readers with computing skills and deepen their understanding
of the material Data Mining and Business Analytics with R is an
excellent graduate-level textbook for courses on data mining and
business analytics. The book is also 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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