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Statistical and machine-learning data mining : techniques for better predictive modeling and analysis of big data /
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
[2011]
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Ratner, Bruce, |e author. | |
| 245 | 1 | 0 | |a Statistical and machine-learning data mining : |b techniques for better predictive modeling and analysis of big data / |c Bruce Ratner. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c [2011] | |
| 264 | 4 | |c ©2011 | |
| 300 | |a 1 online resource (xxv, 496 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Revised edition of: Statistical modeling and analysis for database marketing. c2003. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data, contained 17 chapters of innovative and practical statistical data mining techniques. In this second edition, renamed to reflect the increased coverage of machine-learning data mining techniques, the author has. | ||
| 505 | 0 | |a Front Cover; Dedication; Contents; Preface; Acknowledgments; About the Author; 1. Introduction; 2. Two Basic Data Mining Methods for Variable Assessment; 3. CHAID-Based Data Mining for Paired-Variable Assessment; 4. The Importance of Straight Data: Simplicity and Desirability for Good Model-Building Practice; 5. Symmetrizing Ranked Data: A Statistical Data Mining Method for Improving the Predictive Power of Data; 6. Principal Component Analysis: A Statistical Data Mining Method for Many-Variable Assessment; 7. The Correlation Coefficient: Its Values Range between Plus/Minus 1, or Do They? | |
| 505 | 8 | |a 8. Logistic Regression: The Workhorse of Response Modeling9. Ordinary Regression: The Workhorse of Profit Modeling; 10. Variable Selection Methods in Regression: Ignorable Problem, Notable Solution; 11. CHAID for Interpreting a Logistic Regression Model; 12. The Importance of the Regression Coefficient; 13. The Average Correlation: A Statistical Data Mining Measure for Assessment of Competing Predictive Models and the Importance of the Predictor Variables; 14. CHAID for Specifying a Model with Interaction Variables; 15. Market Segmentation Classification Modeling with Logistic Regression. | |
| 505 | 8 | |a 16. CHAID as a Method for Filling in Missing Values17. Identifying Your Best Customers: Descriptive, Predictive, and Look-Alike Profiling; 18. Assessment of Marketing Models; 19. Bootstrapping in Marketing: A New Approach for Validating Models; 20. Validating the Logistic Regression Model: Try Bootstrappin; 21. Visualization of Marketing ModelsData Mining to Uncover Innards of a Model; 22. The Predictive Contribution Coefficient: A Measure of Predictive Importance; 23. Regression Modeling Involves Art, Science, and Poetry, Too; 24. Genetic and Statistic Regression Models: A Comparison. | |
| 505 | 8 | |a 25. Data Reuse: A Powerful Data Mining Effect of the GenIQ Model26. A Data Mining Method for Moderating Outliers Instead of Discarding Them; 27. Overfitting: Old Problem, New Solution; 28. The Importance of Straight Data: Revisited; 29. The GenIQ Model: Its Definition and an Application; 30. Finding the Best Variables for Marketing Models; 31. Interpretation of Coefficient-Free Models. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Database marketing |x Statistical methods. | |
| 650 | 0 | |a Data mining |x Statistical methods. | |
| 650 | 0 | |a Big data |x Statistical methods. | |
| 650 | 6 | |a Bases de données |x Marketing |x Méthodes statistiques. | |
| 650 | 6 | |a Données volumineuses |x Méthodes statistiques. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x E-Commerce |x Internet Marketing. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Mail Order. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Marketing |x Direct. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Marketing |x Multilevel. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Marketing |x Telemarketing. |2 bisacsh | |
| 650 | 7 | |a Data mining |x Statistical methods |2 fast | |
| 650 | 7 | |a Wissensextraktion. |2 idszbz | |
| 650 | 7 | |a Statistik. |2 idszbz | |
| 700 | 1 | |a Ratner, Bruce. |t Statistical modeling and analysis for database marketing. | |
| 758 | |i has work: |a Statistical and machine-learning data mining (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGqCDXxrTKxPcYhjKhKx8P |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Ratner, Bruce. |t Statistical and machine-learning data mining. |b 2nd ed. |d Boca Raton, FL : Taylor & Francis, ©2012 |z 9781439860915 |w (DLC) 2011014298 |w (OCoLC)663952432 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=840391 |z Texto completo |
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