Enhanced decision making using data mining: Applications for retailers

Journal of Textile and Apparel, Technology and Management

Volumn 2, Issue 3, 2002, Pages

  Anderson, Joan ^a   Kotsiopulos, Antigone ^b  

^a WASHINGTON STATE UNIVERSITY   (United States)

^b Veterinary Dentistry and Oral Surgery   (United States)

Author keywords

Data mining; Decision making; Marketing strategy; Retailers; Strategic planning; Technology

Indexed keywords

EID: 1642348244     PISSN: 15330915     EISSN: 15330915     Source Type: Journal    
DOI: None     Document Type: Article

References (40)

1. Anderson, J.L. (2001). Profiles of successful graduate students using artificial neural networking and simultaneous multiple regression. Unpublished Dissertation, Colorado State University.
2. Arlitt, M., Krishnamurthy, D., & Rolia, J. (2001, August). Characterizing the scalability of large web-based shopping systems. ACM Transactions on Internet Technology, (1), 1, 44-69.
3. Berkin, P., Beche, J.D., & Randall, D.J. (2001). Interactive path analysis of web site traffic. American Association for Artificial Intelligence, Proceedings. 414-419.
4. Berry, M.J.A., & Linoff, G. (1997). Data mining techniques for marketing, sales and customer support. New York: John Wiley & Sons, Inc.
5. Brijs, T., Swinnen, G., Vanhoof, K., & Wets, G. (1999). Using association rules for product assortment decisions: A case study. Data Mining and Knowledge Discovery, 254.
6. Brijs, T., Goethals, B., Swinnen, G., Vanhoof, K., & Wets, G. (2000). A data mining framework for optimal product selection in a retail supermarket: The generalized PROFSET model. Data Mining and Knowledge Discovery, 300.
7. Cabena, P., Hadjinian, P., Stadler, R., Verhees, J & Zanasi, A. (1998). Discovering data mining: From concept to implementation. Upper Saddle River, N.J.: Prentice Hall.
8. Data mining/CRM: Searching for an ROI. (2001, October). Chain Store Age, 24-26.
9. Data mining: What is data mining? (no date). [online]. Available: http://www.anderson.ucla.edu/faculty [2002, June 11].
10. Data Intelligence Group. (1995, September). An overview of data mining at Dun and Bradstreet. [online]. Available: http://www3.shpre.net [2002, June 11].
11. Decker, P. (1998, Mar/Apr). Data mining's hidden dangers. Banking Strategies, 74(2), 6-14.
12. Dhond, A., Gupta, A. & Vadhavkar, S. (2000). Data mining techniques for optimizing inventories for electronic commerce. Data Mining and Knowledge Discovery, 480-486.
13. Do-it-yourself data mining. (1996, December). Marketing Computers, 16, (11), 1-2.
14. Foley J. & Russell, J.D. (1998, March 16). Mining your own business. Informationweek, 673, 18-20.
15. Fonseca, B. (2000, July 7). Personalization and web analysis sink in. Infoworld, (22), 29, 39.
16. Growing lifetime value. (1999, May). Chain Store Age, (75), 5, 143.
17. Hollander, G. (1998, May 25). Model 1 deftly pares customer characteristics. Infoworld, 20,(21), 148.
18. Kempster, M. (1998, June). Digging for data. Inform, 12, (6), 22-30.
19. Keen, P.G.W. (1997, November 17). Let's focus on action not info. Computerworld [online]. Available: http://www.computerworld.com. [2002, June 11].
20. Kroll, K.M. (2001, April). Sears Canada gains improved customer knowledge with data mining and analysis. Stores, (83), 4, 128-129.
21. Lee, J. & Podlaseck, M. (2000, October). Using a starfield visualization of ranalyzing product performance of online stores. Data Mining and Knowledge Discovery, 168-175.
22. Lee, J., Podlaseck, M., Schonberg, E., & Hoch, R. (2001, January-April). Visualization and analysis of click stream data of online stores for understanding web merchandising. Data Mining and Knowledge Discovery, (5), 1-2, 59-84.
23. Maselli, J. (2001, February). Business-intelligence pays off for Nordstrom. Information Week, (825), 91.
24. Mining the store. (2000, January). Chain Store Age, 76, (1), 4-5.
25. Murphy, P. A. (1998, March). Focus on existing customers seen driving revenue growth. Stores, 32-34.
26. Parks, L. (2000, June). Information resources inc. Drug Store News, (22), 9, 219-222.
27. Peacock, P.R. (1998, Winter). Data mining in marketing: Part 1. Marketing Management, 9-18.
28. Press, S. (1998, June). Fool's gold. Sales and Marketing Management, 150, (6), 58-62.
29. Rabinovitch, L. (1999, December). America's "first" department store mines customer data. Direct marketing, (62),8, 42-44+.
30. Ritzer, J.R. (1996, August). New rule-based systems tackle employee shrink. Stores, (78), 8, 71-72.
31. Rubbermaid mines for profits. (1999, March). Discount Store News, (38), 6, S3-S5.
32. Small, R.D. (1997, January). Debunking data mining myths. Informationweek, [online]. Available: http://www.informationweek.com. [2002, June 11].
33. Stedman, C. (1997, December). Data mining despite the dangers. Computerworld, (32), 1, 61-62.
34. Thearling, K. (2002). More than algorithms: Data mining in the real world, [online]. Available: http://www.thearling.com. [2002, June 11].
35. Thearling, K. (2002). An introduction to data mining. [online]. Available: http://www.thearling.com. [2002, June 11].
36. What is data mining? (No date), [online]. Available: http://www.globalintel.com/data.html [1998, Sept. 13].
37. Wheaton, J. (1998, May). Data detectives. Catalog Age, 15, (6), 94-100.
38. Whiting, R. (2002, February). Companies boost sales efforts with predictive analysis. Information Week, (877), 62-64.
39. Whiting, R. (2001, November). Retailer seeks success on how customer dress. Information Week, (865), 65.
40. Whiting, R. (2002, March). Business intelligence: Feasible or feeble? [online]. Available: http://www.informationweek.com. [2002, June 11].