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Business Analytics
Business Analytics
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Description
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.
Product details
Edition:
1
Number of Pages:
364
Release Date:
2013-06-28
Publication Date:
2013-05-17
Publisher:
John Wiley & Sons
Languages:
Original:
English
ISBN10:
111844714X
ISBN13:
9781118447147
GPSR Manufacturer Reference:
Weight:
712 g
Height:
161 cm
Width:
240 cm
Thickness:
24 cm
Condition
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Good
The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
€25,79