Data Preparation for Data Mining Using SAS

Data Preparation for Data Mining Using SAS

Volumn , Issue , 2006, Pages 1-393

  Refaat, Mamdouh ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85144129933     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Book

References (21)

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2. A. Agresti (2002) Second Edition Catagorical Data Analysis New York: John Wiley & Sons
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7. N. Cristianini and J. Shawe-Taylor (2000) An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods New York: Cambridge University Press
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9. D. Hosmer and S. Lemeshow (1989) Applied Logistic Regression New York: John Wiley & Sons
10. R.A. Johnson and D.W. Wichern (2001) Applied Multivariate Statistical Analysis Upper Saddle River, New Jersey: Prentice-Hall
11. P.S. Levy and S. Lemeshow (1999) Sampling of Populations: Methods and Applications, Third Edition New York: John Wiley & Sons
12. T.M. Mitchell (1997) Machine Learning New York: McGraw-Hill
13. D. Pyle (1999) Data Preparation for Data Mining San Francisco: Morgan Kaufmann
14. R. Reyment and K. Jöreskog (1993) Applied Factor Analysis in the Natural Sciences New York: Cambridge University Press
15. R. Quinlan (1993) C4.5: Programs for Machine Learning, Morgan Kaufmann Series in Machine Learning, San Francisco
16. D.B. Rubin (1987) Multiple Imputation for Nonresponse in Surveys New York: John Wiley & Sons
17. SAS Institute (2004) SAS 9.1 Macro Language: Reference Cary, North Carolina: SAS Publishing
18. SAS Institute (2005) SAS 9.1 SAS/STAT: User Manual Cary, North Carolina: SAS Publishing
19. J.L. Schafer (1997) Analysis of Incomplete Multivariate Data New York: Chapman & Hall
20. J.W. Tukey (1977) Exploratory Data Analysis Reading, Massachusetts: Addison-Wesley
21. T. Wickens (1995) The Geometry of Multivariate Statitics Hillsdale, New Jersey: Lawrence Erlbaum Associates