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Customer and business analytics : applied data mining for business decision making using R / Daniel S. Putler, Robert E. Krider.

By: Putler, Daniel S.
Contributor(s): Krider, Robert E.
Call number: 658.4030285 P988C Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC the R series: ; The R series: Publisher: Boca Raton, Fla. : CRC Press/Taylor & Francis Group, c2012Description: xxvi, 289 p. : ill.ISBN: 9781466503960 (hbk.).Subject(s): Database marketing -- Software | Data mining | Decision making -- Data processing | R (Computer program language) | Database management
I. Purpose and process. 1, Database marketing and data mining. 2, A process model for data mining - CRISP-DM -- II. Predictive modeling tools. 3, Basic tools for understanding data. 4, Multiple linear regression. 5, Logistic regression. 6, Lift charts. 7, Tree models. 8, Neural network models. 9, Putting it all together -- III. Grouping methods. 10, Ward's method of cluster analysis and principal components. 11, K-centroids partitioning cluster analysis.
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