A novel knowledge discovering model for mining fuzzy multi-level sequential patterns in sequence databases

Data and Knowledge Engineering

Volumn 66, Issue 3, 2008, Pages 349-367

  Chen, Yen Liang ^a   Huang, Tony Cheng Kui ^b  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b NATIONAL TAITUNG UNIVERSITY   (Taiwan)

Author keywords

Data mining; Fuzzy sets; Multi level; Sequence data; Sequential patterns

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; COMPUTATIONAL EFFICIENCY; DATA MINING; DATABASE SYSTEMS; FUZZY SETS; MINING; SEQUENTIAL SWITCHING; SET THEORY; TAXONOMIES;

CONCEPT HIERARCHIES; DATA SETS; ELSEVIER (CO); FUZZY MULTI-LEVEL; FUZZY SET TECHNIQUES; INDIVIDUAL (PSS 544-7); MINING ALGORITHMS; SEQUENCE DATABASES; SEQUENTIAL PATTERN MINING; SEQUENTIAL PATTERNS; SYNTHETIC DATASETS;

FUZZY LOGIC;

EID: 47949110993     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.datak.2008.04.005     Document Type: Article

References (26)

1. R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proceedings of 1994 International Conference Very Large Data Bases, 1994, pp. 487-499.
2. R. Agrawal, R. Srikant, Mining sequential patterns, in: Proceedings of 1995 International Conference Data Engineering, 1995, pp. 3-14.
3. Bostan-Korpeoglu B., and Yazici A. A fuzzy Petri net model for intelligent databases. Data & Knowledge Engineering 62 2 (2007) 219-247
4. Chen Y.L., Chen S.S., and Hsu P.Y. Mining hybrid sequential patterns and sequential rules. Information Systems 27 5 (2002) 345-362
5. Chen Y.L., Chiang M.C., and Ko M.T. Discovering time-interval sequential patterns in sequence databases. Expert Systems with Applications 25 3 (2003) 343-354
6. Chuang S.L., and Chien L.F. Enriching web taxonomies through subject categorization of query terms from search engine logs. Decision Support Systems 35 (2003) 113-127
7. Cho Y.H., and Kim J.K. Application of Web usage mining and product taxonomy to collaborative recommendations in e-Commerce. Expert Systems with Applications 26 (2004) 233-246
8. Chen G., and Wei Q. Fuzzy association rules and the extended mining algorithms. Information Sciences 147 (2002) 201-228
9. Hong T.P., Lin K.Y., and Wang S.L. Fuzzy data mining for interesting generalized association rules. Fuzzy Set and Systems 138 (2003) 255-269
10. Hong T.P., Lin K.Y., and Chien B.C. Mining fuzzy multiple-level association rules from quantitative data. Applied Intelligence 18 (2003) 79-90
11. Han J., Cai Y., and Cercone N. Data-driven discovery of quantitative rules in relational databases. IEEE Transaction on Knowledge and Data Engineering 5 (1993) 29-40
12. J. Han, J. Pei, B. Mortazavi-Asl, Q. Chen, U. Dayal, M.C. Hsu, FreeSpan: frequent pattern-projected sequential pattern mining, in: Proceedings of 2000 International Conference on Knowledge Discovery and Data Mining, 2000, pp. 355-359.
13. Han J., and Kamber M. Data Mining: Concepts and Techniques. second ed. (2006), Morgan Kaufmann Publishers
14. Han J., and Fu Y. Mining multiple-level association rules in large databases. IEEE Transaction on Knowledge and Data Engineering 11 5 (1999) 1-8
15. Li Y., Bandar Z.A., and McLean D. An approach for measuring semantic similarity between words using multiple information sources. IEEE Transaction on Knowledge and Data Engineering 15 4 (2003) 871-882
16. G. Liu, H. Lu, Y. Xu, J.X. Yu, Ascending frequency ordered prefix-tree: efficient mining of frequent patterns, in: Proceedings of the Eighth International Conference on Database Systems for Advanced Applications, 2003, pp. 65-72.
17. Leung C.W.-K., Chan Stephen.C.-F., and Chung F.-L. A collaborative filtering framework based on fuzzy association rules and multiple-level similarity. Knowledge and Information Systems 10 3 (2006) 357-381
18. Ma Z.M., and Yana L. Fuzzy XML data modeling with the UML and relational data models. Data & Knowledge Engineering 63 3 (2007) 972-996
19. J. Pei, J. Han, B. Mortazavi-Asl, H. Zhu, Mining access patterns efficiently from Web logs, in: Proceedings of 2000 Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2000, pp. 396-407.
20. Ryu Y.U. Dynamic construction of product taxonomy hierarchies for assisted shopping in the electronic marketplace. Hawaii International Conference on System Sciences 5 (1998) 196-204
21. R. Srikant, R. Agrawal, Mining sequential patterns: generalizations and performance improvements, in: Proceedings of the Fifth International Conference on Extending Database Technology, 1996, pp. 3-17.
22. R. Srikant, R. Agrawal, Mining generalized association rules, in: Proceedings 1995 International Conference Very Large Data Bases, Zurich, September 1995, pp. 407-419.
23. Serrurier M., Dubois D., Prade H., and Sudkamp T. Learning fuzzy rules with their implication operators. Data & Knowledge Engineering 60 1 (2007) 71-89
24. Vert G., Stock M., and Morris A. Extending ERD modeling notation to fuzzy management of GIS data files. Data & Knowledge Engineering 40 2 (2002) 163-179
25. Yu C.C., and Chen Y.L. Mining sequential patterns from multi-dimensional sequence data. IEEE Transaction on Knowledge and Data Engineering 17 1 (2005) 136-140
26. Zaki M. SPADE: an efficient algorithm for mining frequent sequences. Machine Learning 40 (2001) 31-60