Customer and business analytics : applied data mining for business decision making using R / Daniel S. Putler, Robert E. Krider.
Material type:
- 9781466503960 (alk. paper)
- 1466503963 (alk. paper)
- 658.403 23 PUT
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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CUTN Central Library Medicine, Technology & Management | Non-fiction | 658.403 PUT (Browse shelf(Opens below)) | Available | 36770 |
I.Purpose and Process 2.A Process Model for Data Mining --CRISP-DM 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
Includes bibliographical references (p. 283-285) and index.
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