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Data mining for business analytics : concepts, techniques, and applications in R / Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl, Jr.

By: Shmueli, Galit
Material type: TextTextLanguage: English Publisher: New Delhi : Wiley, ©2018Description: xxix, 544 p. : ill. ; 26 cmISBN: 9788126577392Subject(s): Business mathematics -- Computer programs | Business -- Data processing | Data mining | R (Computer program language)DDC classification: 005.74 SHM
Contents:
Overview of the data mining process Data visualization Dimension reduction Evaluating predictive performance Multiple linear regression k-Nearest Neighbors (kNN) The Naive Bayes classifier Classification and regression trees Logistic regression Neural nets Discriminant analysis Combining methods : ensembles and uplift modeling Association rules and collaborative filtering Cluster analysis Handling time series 5 More...
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Includes bibliographical references (pages 531-532) and index.

Overview of the data mining process
Data visualization
Dimension reduction
Evaluating predictive performance
Multiple linear regression
k-Nearest Neighbors (kNN)
The Naive Bayes classifier
Classification and regression trees
Logistic regression
Neural nets
Discriminant analysis
Combining methods : ensembles and uplift modeling
Association rules and collaborative filtering
Cluster analysis
Handling time series
5 More...

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