Mining multi-cross-level fuzzy weighted association rules

2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

Volumn 1, Issue , 2004, Pages 225-230

  Kaya, Mehmet ^a   Alhajj, Reda ^b  

^a FIRAT UNIVERSITY   (Turkey)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

Association rules; Data mining; Fuzziness; Linguistic terms; Multi cross level rules; Weighted rules

Indexed keywords

ALGORITHMS; BOOLEAN ALGEBRA; DATA MINING; DATA REDUCTION; DATABASE SYSTEMS; LINGUISTICS;

ASSOCIATION RULES; FUZZINESS; LINGUISTIC TERMS; MULTI-CROSS-LEVEL RULES; WEIGHTED RULES;

FUZZY CONTROL;

EID: 8844231014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. R. Agrawal, T. Imielinski and A. Swami, "Mining association rules between sets of items in large databases," Proc. of ACM SIGMOD, pp. 207-216, 1993.
2. R. Srikant and R. Agrawal, "Mining quantitative association rules in large relational tables," Proc. of ACM SIGMOD, pp. 1-12, 1996.
3. R.J. Miller and Y. Yang, "Association Rules over Interval Data," Proc. of ACM SIGMOD, pp. 452-461, 1997.
4. B. Lent, A. Swami and J. Widom, "Clustering Association Rules," Proc. of IEEE ICDE, pp. 220-231, 1997.
5. L.A. Zadeh, "Fuzzy Sets," Information and Control, vol. 8, pp. 338-353, 1965.
6. W. Zhang, "Mining Fuzzy Quantitative Association Rules," Proc. of IEEE ICTAI, pp. 99-102, 1999.
7. K.C.C. Chan and W.H. Au, "Mining Fuzzy Association Rules," Proc. of ACM CIKM, pp.209-215, 1997.
8. K. Hirota and W. Pedrycz, "Linguistic Data Mining and Fuzzy Modelling," Proc. of EEE-FUZZ, pp. 1448-1496, 1996.
9. T.P. Hong, C.S. Kuo and S.C. Chi, "Mining Association Rules from Quantitative Data," Intelligent Data Analysis, vol. 3, no. 5, pp. 363-376, 1999.
10. T. P. Hong, M. J. Chiang and S. L. Wang, "Mining from Quantitative Data with Linguistic Minimum Supports and Confidences," Proc. of IEEE-FUZZ, pp. 494-499, 2002.
11. H. Ishibuchi, T. Nakashima and T. Yamamoto. "Fuzzy Association Rules for Handling Continuous Attributes," Proc. of IEEE International Symposium on Industrial Electronics, pp. 118-121, 2001.
12. M. Kaya, R. Alhajj, F. Polat and A. Arslan, "Efficient Automated Mining of Fuzzy Association Rules," Proc. of DEXA, 2002.
13. C.M. Kuok, A.W. Fu and M.H. Wong, "Mining fuzzy association rules in databases," SIGMOD Record, Vol.17, No.1, pp.41-46, 1998.
14. W. Pedrycz, "Fuzzy Sets Technology in Knowledge Discovery," Fuzzy Sets and Systems, pp. 279-290, 1998.
15. R.R. Yager, "Fuzzy Summaries in Database Mining," Proc. of the International Conference on Artificial Intelligence for Application, pp. 265-269, 1995.
16. R. Srikant and R. Agrawal, "Mining generalized association rules", Proc. of VLDB, pp. 407-419, Zurich, Sept. 1995.
17. J. Han and Y. Fu, "Mining Multiple-Level Association Rules in Large Databases," IEEE TKDE, vol. 11, pp. 798-805, Oct. 1999.
18. T.P. Hong, K.Y. Lin and B.C. Chien, "Mining Fuzzy Multiple-Level Association Rules from Quantitative Data," Applied Intelligence, vol. 18, pp. 79-90, 2003.
19. T.P. Hong, K.Y. Lin and S.L. Wang, "Fuzzy data mining for interesting generalized association rules," Fuzzy Sets and Systems, vol. 138, no. 2, pp. 255-269, Sept. 2003.
20. S. Yue, et al, "Mining fuzzy association rules with weighted items," Proc. of IEEE SMC, pp. 1906-1911, 2000.
21. C.H. Cai, et al, "Mining Association Rules with Weighted Items," Proc. of IDEAS, pp. 68-77, 1998.
22. A. Gyenesei, "Mining Weighted Association Rules for Fuzzy Quantitative Items", TUCS Technical Report No: 346, May 2000.
23. R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules," Proc. of VLDB, pp. 487-499, Sept. 1994.