Knowledge discovery in a direct marketing case using least squares support vector machines

International Journal of Intelligent Systems

Volumn 16, Issue 9, 2001, Pages 1023-1036

  Viaene, S ^a   Baesens, B ^a   Van Gestel, T ^a   Suykens, J A K ^a   Van Den Poel, D ^b   Vanthienen, J ^a   De Moor, B ^a   Dedene, G ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; HEURISTIC METHODS; LEAST SQUARES APPROXIMATIONS; MARKETING; MATHEMATICAL MODELS; NEURAL NETWORKS; PURCHASING; SEMANTICS; SENSITIVITY ANALYSIS;

CUSTOMER PROFILING; KNOWLEDGE DISCOVERY; RECENCY FREQUENCY MONETARY MODELING; SUPPORT VECTOR MACHINE;

KNOWLEDGE ACQUISITION;

EID: 0035449520     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.1047     Document Type: Article

References (40)

1. Picking them by their batting averages' recency-frequency-monetary method of controlling circulation
2. Least squares support vector machine classifiers
3. Benchmarking least squares support vector machine classifiers
4. A direct mail customer purchase model
5. Quantitative database methods
6. Target selection for direct marketing
7. Continuous predictive modeling: A comparative analysis
8. Quantitative approaches for profit maximization in direct marketing
9. The attrition of volunteers
10. Database marketing modeling for financial services using hazard rate models
11. Response modeling for database marketing using binary classification
12. Direct marketing: Strategy, planning, execution
13. Issues and problems in applying neural computing to target marketing
14. List segmentation
15. The effect of sample size and proportion of buyers in the sample on the performance of list segmentation equations generated by regression analysis
16. Mailing decisions in the catalog sales industry
17. Estimating and validating asymmetric heterogeneous loss functions applied to health care fund raising
18. Semiparametric versus parametric classification models: An application to direct marketing
19. Interaction between target and mailing characteristics in direct marketing, with an application to health care fund raising
20. Optimal mailing of catalogs: A new methodology using estimable structural dynamic programming models
21. A microeconomic analysis of consumer response to direct marketing and mail order
22. List segmentation strategies in direct marketing
23. An empirical investigation of regression meta-strategies for direct marketing list segmentation models
24. Cart: A recent advance in tree-structured list segmentation methodology
25. Successful Direct Marketing Methods
26. Segmentation analysis with managerial judgment
27. Regression with missing x's: A review
28. Learning with kernels
29. The nature of statistical learning theory
30. Statistical learning theory
31. Least squares support vector machine classifiers: A large scale algorithm
32. Multiclass least squares support vector machines
33. Sparse least squares support vector machine classifiers
34. Irrelevant features and the subset selection problem
35. Learning with many irrelevant features
36. The feature selection problem: Traditional methods and a new algorithm