Using customer knowledge in designing electronic catalog

Expert Systems with Applications

Volumn 34, Issue 1, 2008, Pages 119-127

  Lin, Chinho ^a   Hong, Chienwen ^a,b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b CHIA NAN UNIVERSITY OF PHARMACY AND SCIENCE   (Taiwan)

Author keywords

Data mining; Electronic catalog design; Marketing; Relational database

Indexed keywords

CUSTOMER SATISFACTION; DATA MINING; KNOWLEDGE ACQUISITION; MANAGERS; MARKETING; SOFTWARE DESIGN;

ELECTRONIC CATALOG; ELECTRONIC CATALOG DESIGN; MARKETING STRATEGIES; STUDY MINES;

RELATIONAL DATABASE SYSTEMS;

EID: 34248589193     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.08.028     Document Type: Article

References (19)

1. Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining Association between sets of items in massive database. In International proceedings of the ACM-SIGMOD international conference on management of data (pp. 207-216).
2. Agrawal, R., & Srikant, R. (1995). Fast algorithms for mining association rules. In Proceedings of the international conference on very large data bases (pp. 407-419).
3. Anand S.S., Patrick A.R., Hughes J.G., and Bell D.A. A data mining methodology for cross-sales. Knowledge-Based Systems 10 (1998) 449-461
4. Berzal F., Cubero J., Mari{dotless}'n N., and Serrano J. TBAR: an efficient method for association rule mining in relational databases. Data and Knowledge Engineering 37 (2001) 47-64
5. Breault J.L., Goodall C.R., and Fos P.J. Data mining a diabetic data warehouse. Artificial Intelligence in Medicine 26 (2002) 37-54
6. Changchien S.W., Lee C.-F., and Hsu Y.-J. On-line personalized sales promotion in electronic commerce. Expert Systems with Applications 27 1 (2004) 35-52
7. Changchien S.W., and Lu T.C. Mining association rules procedures to support on-line recommendation by customers and products fragmentation. Expert Systems with Applications 20 4 (2001) 325-335
8. Codd E.F. A relational model of data for large relational database. Communications of the ACM 13 (1970) 377-387
9. Dabbas R.M., and Chen H.N. Mining semiconductor manufacturing data for productivity improvement-an integrated relational database approach. Computers in Industry 45 (2001) 29-44
10. David T., and Wenny R.J. Parallel database sorting. Journal of Information Sciences 146 (2002) 171-219
11. Giudici P., and Passerone G. Data mining of association structures to model consumer behavior. Computational Statistics and Data Analysis 38 (2002) 533-541
12. Han J., and Fu Y. Mining multiple-level association rules in large databases. IEEE Transactions on knowledge and data engineering 11 5 (1999) 798-804
13. Laudon K.C., and Laudon J.P. Essentials of management information systems. 5th ed. (2003), Prentice-Hall, New York
14. Liu W.Y., and Song N. A logical design method for temporal databases based on the stability constraint and the generalization semantics. Journal of Information Sciences 124 (2000) 153-171
15. Mastsuzawa, H., & Fukuda, T. (2000). Mining structured association patterns from databases. In Proceeding of the 4th Pacific-Asia conference, PAKDD 2000 (pp. 233-244).
16. McFadden F.R., Hoffer J.A., and Prescott M.B. Modern database management. 5th ed. (1999), Addison-Wesley, New York
17. Song H.S., Kim J.K., and Kim S.H. Mining the change of customer behavior in an Internet shopping mall. Expert Systems with Applications 21 (2001) 157-168
18. Tsechansky M.S., Pilskin N., Rabinowitz G., and Porath A. Mining relational patterns from multiple relational tables. Decision Support Systems 27 (1999) 177-195
19. Tseng F.S.C. Design of a multi-dimensional query expression for document warehouses. Journal of Information Sciences 174 (2005) 55-79