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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: Contributor(s): Material type: TextLanguage: English Publication details: Hoboken, New Jersey : John Wiley & Sons, 2016.Description: 1 online resourceISBN:
  • 9781118879337 (epub)
  • 9781118956632 (pdf)
Subject(s): Additional physical formats: Print version:: Data mining for business analyticsDDC classification:
  • 005.54 23 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 -- Regression-based forecasting -- Smoothing methods -- Social network analytics -- Text mining -- Cases.
List(s) this item appears in: Weekly Addition
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
General Books CUTN Central Library Generalia Non-fiction 005.54 SHM (Browse shelf(Opens below)) Checked out to Martin Martin (16030A) 18/03/2022 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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