Data mining and predictive analytics (Record no. 102716)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02085nam a22001937a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118116297 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.4038 LAR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Larose, Daniel T.; Larose, Chantal D |
| 245 ## - TITLE STATEMENT | |
| Title | Data mining and predictive analytics |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New Delhi |
| Name of publisher, distributor, etc. | Wiley |
| Date of publication, distribution, etc. | 2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xix, 794 p. |
| Other physical details | 24 cm ; Hard |
| 500 ## - GENERAL NOTE | |
| General note | Alpha 2255/191115/Rs.9,600/- |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. An introduction to data mining and predictive analytics<br/>2. Data pre-processing<br/>3. Exploratory data analysis<br/>4. Dimension-reduction methods<br/>5. Univariate statistical analysis<br/>6. Multivariate statistics<br/>7. Preparing to model the data<br/>8. Simple linear regression<br/>9. Multiple regression and model building<br/>10. K- nearest neighbour algorithm<br/>11. Decision trees<br/>12. Neural networks<br/>13. Logistic regression<br/>14. Naïve bayes and Bayesian networks<br/>15. Model evaluation techniques<br/>16. Cost- benefit analysis using data-driven costs<br/>17. Cost benefit analysis for trainary and k-nary classification models<br/>18. Graphical evaluation of classification models<br/>19. Hierarchical and k-means clustering<br/>20. Kohonen networks<br/>21. Birch clustering<br/>22. Measuring cluster goodness<br/>23. Association rules<br/>24. Segmentation models<br/>25. Ensemable methods: bagging and boosting<br/>26. Model voting and propensity averaging<br/>27. Genetic algorthms<br/>28. Imputation of missing data<br/>29. Case study Part.1 business understanding data preparation and EDA<br/>30. Case study Part 2 clustering and principal components analysis<br/>31. Case study Part.3 Modelling and evaluation for performance and interpretability<br/>32. Case study Part.4 Modelling and evaluation for high performance only. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Prediction theory |
| -- | Business--Data processing |
| -- | Data mining |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://as.wiley.com/WileyCDA/WileyTitle/productCd-1118116194.html">http://as.wiley.com/WileyCDA/WileyTitle/productCd-1118116194.html</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GSB Collection | H.T. Parekh Library | 12/11/2015 | Recommend | 23 | 658.4038 LAR | B2015 | 24/06/2019 | 24/06/2019 | 12/11/2015 | Books |