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Data mining for business analytics : concepts, techniques, and applications with XLMiner/ by Galit Shmueli, Peter C. Bruce and Nitin R. Patel.

By: Shmueli, Galit | , 1971- [author.].
Contributor(s): Bruce, Peter C | Yahav, Inbal | Patel, Nitin R | Lichtendahl, Kenneth C | , 1953- [author.] | [author.] | (Nitin Ratilal) [author.] | , 1969- [author.].
Material type: materialTypeLabelBookPublisher: Hoboken, New Jersey : John Wiley & Sons, 2016Description: 1 online resource.ISBN: 9781118879337 (epub); 9781118956632 (pdf).Subject(s): Business | Data mining | R (Computer program language) | Business mathematics | -- Data processing | -- Computer programsAdditional physical formats: Print version:: Data mining for business analyticsDDC classification: 005.54
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 -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining -- Cases.
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Non-fiction 005.54 SHM (Browse shelf) Checked out 13/12/2019 37480

Includes 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 -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining -- Cases.

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