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ocn774956267 |
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OCoLC |
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20241006213017.0 |
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|a 846860023
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|a 880637669
|a 971039283
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|a 995765340
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|q (electronic bk.)
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|a 9781439860922
|q (electronic bk.)
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|z 9781439860915
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|z 1439860912
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|z (OCoLC)971039283
|z (OCoLC)971074534
|z (OCoLC)995765340
|z (OCoLC)1003145047
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|a CL0500000427
|b Safari Books Online
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|a HF5415.126
|b .R38 2012
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|2 bisacsh
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|x 043050
|2 bisacsh
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Ratner, Bruce,
|e author.
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| 245 |
1 |
0 |
|a Statistical and machine-learning data mining :
|b techniques for better predictive modeling and analysis of big data /
|c Bruce Ratner.
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| 250 |
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|a Second edition.
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| 264 |
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1 |
|a Boca Raton, FL :
|b CRC Press,
|c [2011]
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| 264 |
|
4 |
|c ©2011
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| 300 |
|
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|a 1 online resource (xxv, 496 pages) :
|b illustrations
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
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|a Revised edition of: Statistical modeling and analysis for database marketing. c2003.
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| 504 |
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|a Includes bibliographical references.
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| 520 |
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|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.
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| 505 |
0 |
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|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?
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| 505 |
8 |
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|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.
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| 505 |
8 |
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|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.
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| 505 |
8 |
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|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.
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| 650 |
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0 |
|a Database marketing
|x Statistical methods.
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| 650 |
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0 |
|a Data mining
|x Statistical methods.
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| 650 |
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0 |
|a Big data
|x Statistical methods.
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| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x E-Commerce
|x Internet Marketing.
|2 bisacsh
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| 650 |
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7 |
|a BUSINESS & ECONOMICS
|x Mail Order.
|2 bisacsh
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| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Marketing
|x Direct.
|2 bisacsh
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| 650 |
|
7 |
|a BUSINESS & ECONOMICS
|x Marketing
|x Multilevel.
|2 bisacsh
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| 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 |
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|a Ratner, Bruce.
|t Statistical modeling and analysis for database marketing.
|
| 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.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=840391
|y Click for online access
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| 903 |
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|a EBC-AC
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| 994 |
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|a 92
|b HCD
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