Data mining and predictive analytics/ (Record no. 198776)
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| 000 -LEADER | |
|---|---|
| fixed length control field | a |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118116197 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Item number | LAR/D |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Larose, Daniel T. |
| 245 ## - TITLE STATEMENT | |
| Title | Data mining and predictive analytics/ |
| Statement of responsibility, etc. | Daniel T. Larose, Chantal D. Larose |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Jersey: |
| Name of publisher, distributor, etc. | John Wiley & Sons, |
| Date of publication, distribution, etc. | c2015. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxix, 794 p. : |
| Other physical details | ill. ; |
| Dimensions | 25 cm. |
| 440 ## - SERIES | |
| Title | (Wiley series on methods and applications in data mining) |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Part I. Data Preparation --<br/>Chapter 1. An Introduction to Data Mining and Predictive Analytics --<br/>Chapter 2. Data Preprocessing --<br/>Chapter 3. Exploratory Data Analysis --<br/>Chapter 4. Dimension-Reduction Methods --<br/>Part II. Statistical Analysis --<br/>Chapter 5. Univariate Statistical Analysis --<br/>Chapter 6. Multivariate Statistics --<br/>Chapter 7. Preparing to Model the data --<br/>Chapter 8. Simple Linear Regression --<br/>Chapter 9. Multiple Regression and Model Building --<br/>Part III. Classification --<br/>Chapter 10. k-Nearest Neighbor Algorithm --<br/>Chapter 11. Decision trees --<br/>Chapter 12. Neural Networks --<br/>Chapter 13. Logistic Regression --<br/>Chapter 14. Naïve Bayes and Bayesian Networks --<br/>Chapter 15. Model Evaluation Techniques --<br/>Chapter 16. Cost-Benefit Analysis Using Data-Driven Costs --<br/>Chapter 17. Cost-Benefit Analysis For Trinary and k-Nary Classification Models --<br/>Chapter 18. Graphical Evaluation of Classification Models --<br/>Part IV. Clustering --<br/>Chapter 19. Hierarchical and k-Means Clustering --<br/>Chapter 20. Kohonen Networks --Chapter 21. Birch Clustering--<br/>Chapter 22. Measuring Cluster Goodness --<br/>Part V. Association Rules --<br/>Chapter 23. Association Rules --<br/>Part VI. Enhancing Model Performance --<br/>Chapter 24. Segmentation Models --<br/>Chapter 25. Ensemble Methods: Bagging and Boosting --<br/>Chapter 26. Model Voting and Propensity Averaging --<br/>Part VII. Further Topics --<br/>Chapter 27. Genetic Algorithms --<br/>Chapter 28. Imputation of Missing Data --<br/>Part VIII. Case Study: Predicting Response to Direct-Mail Marketing --Chapter 29. Case Study, Part 1: Business Understanding, Data Preparation, and Eda --<br/>Chapter 30. Case Study, Part 2: Clustering and Principal Components Analysis --<br/>Chapter 31. Case Study, Part 3: Modeling And Evaluation For Performance And Interpretability --<br/>Chapter 32. Case Study, Part 4: Modeling And Evaluation For High Performance Only. |
| 650 ## - SUBJECT | |
| Keyword | Prediction theory |
| 650 ## - SUBJECT | |
| Keyword | Data mining |
| 650 ## - SUBJECT | |
| Keyword | Business--Data processing |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Larose, Chantal D. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | General Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession number | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 06/02/2020 | 8242.46 | 006.312 LAR/D | 48047 | 06/02/2020 | General Books |