Customer and business analytics : applied data mining for business decision making using R / Daniel S. Putler, Robert E. Krider.
Material type:
TextLanguage: English Series: Chapman & Hall/CRC the R seriesPublication details: Boca Raton, FL : CRC Press, c2012.Description: xxvi, 289 p. : ill. ; 27 cmISBN: - 9781466503960 (alk. paper)
- 1466503963 (alk. paper)
- 658.403 23 PUT
| 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 | |
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CUTN Central Library Medicine, Technology & Management | Non-fiction | 658.403 PUT (Browse shelf(Opens below)) | Available | 36770 |
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| 658.4030 MAR Stochastic optimization methods : applications in engineering and operations research / | 658.403 OLS Business analytics with r and python / | 658.403 PRA Design thinking / | 658.403 PUT Customer and business analytics : | 658.403 ROW Building digital culture : | 658.403 SIN Artificial intelligence enabled management : an emerging economy perspective / | 658.403 SRI Quantitative Techniques for Managerial Decisions |
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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