메뉴 건너뛰기




Volumn 11, Issue 2, 2003, Pages 173-193

A fuzzy data mining algorithm for finding sequential patterns

Author keywords

Data mining; Fuzzy sets; Knowledge acquisition; Sequential patterns

Indexed keywords

ALGORITHMS; EXPERT SYSTEMS; FUZZY SETS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; WEBSITES;

EID: 0037958475     PISSN: 02184885     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218488503002004     Document Type: Article
Times cited : (19)

References (26)
  • 1
    • 0034247248 scopus 로고    scopus 로고
    • Learning a coverage set of maximally general fuzzy rules by rough sets
    • T. P. Hong, T. T. Wang, S. L. Wang and B. C. Chien, "Learning a coverage set of maximally general fuzzy rules by rough sets", Expert Systems with Applications 19(2) (2000) 97-103.
    • (2000) Expert Systems with Applications , vol.19 , Issue.2 , pp. 97-103
    • Hong, T.P.1    Wang, T.T.2    Wang, S.L.3    Chien, B.C.4
  • 3
    • 0001371923 scopus 로고    scopus 로고
    • Fast discovery of association rules
    • eds. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy (AAAI Press, Menlo Park)
    • R. Agrawal, H. Mannila, R. Srikant, H. Toivonen and A. I. Verkano, "Fast discovery of association rules", in Advances in Knowledge Discovery and Data Mining, eds. U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy (AAAI Press, Menlo Park, 1996) pp. 307-328.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 307-328
    • Agrawal, R.1    Mannila, H.2    Srikant, R.3    Toivonen, H.4    Verkano, A.I.5
  • 7
    • 0029359001 scopus 로고
    • Selecting fuzzy if-then rules for classification problems using genetic algorithms
    • H. Ishibuchi, K. Nozaki, N. Yamamoto and H. Tanaka, "Selecting fuzzy if-then rules for classification problems using genetic algorithms", IEEE Transactions on Fuzzy Systems 3(3) (1995) 260-270.
    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , Issue.3 , pp. 260-270
    • Ishibuchi, H.1    Nozaki, K.2    Yamamoto, N.3    Tanaka, H.4
  • 8
    • 0035426682 scopus 로고    scopus 로고
    • Three-objective genetics-based machine learning for linguistic rule extraction
    • H. Ishibuchi, T. Nakashima and T. Murata, "Three-objective genetics-based machine learning for linguistic rule extraction", Information Sciences 136 (2001) 109-133.
    • (2001) Information Sciences , vol.136 , pp. 109-133
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 10
    • 0028370964 scopus 로고
    • Rule-Base Structure identification in an adaptive-network-based fuzzy inference system
    • C. T. Sun, "Rule-Base Structure identification in an adaptive-network-based fuzzy inference system", IEEE Transactions on Fuzzy Systems 2(1) (1994) 64-73.
    • (1994) IEEE Transactions on Fuzzy Systems , vol.2 , Issue.1 , pp. 64-73
    • Sun, C.T.1
  • 12
    • 34248666540 scopus 로고
    • Fuzzy sets
    • L. A. Zadeh, "Fuzzy Sets", Information Control 8(3) (1965) 338-353.
    • (1965) Information Control , vol.8 , Issue.3 , pp. 338-353
    • Zadeh, L.A.1
  • 13
    • 0016458950 scopus 로고
    • The concept of a linguistic variable and its application to approximate reasoning
    • L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning", Information Science (part 1) 8(3) (1975) 199-249; (part 2) 8(4) (1975) 301-357; (part 3) 9(1) (1976) 43-80.
    • (1975) Information Science (Part 1) , vol.8 , Issue.3 , pp. 199-249
    • Zadeh, L.A.1
  • 14
    • 0016459349 scopus 로고
    • L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning", Information Science (part 1) 8(3) (1975) 199-249; (part 2) 8(4) (1975) 301-357; (part 3) 9(1) (1976) 43-80.
    • (1975) Information Science (Part 2) , vol.8 , Issue.4 , pp. 301-357
  • 15
    • 0016458950 scopus 로고
    • L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning", Information Science (part 1) 8(3) (1975) 199-249; (part 2) 8(4) (1975) 301-357; (part 3) 9(1) (1976) 43-80.
    • (1976) Information Science (Part 3) , vol.9 , Issue.1 , pp. 43-80
  • 18
    • 0007911636 scopus 로고
    • Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms
    • A. Homaifar and E. McCormick, "Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms", IEEE Transactions on Fuzzy Systems 3(2) (1995) 129-139.
    • (1995) IEEE Transactions on Fuzzy Systems , vol.3 , Issue.2 , pp. 129-139
    • Homaifar, A.1    McCormick, E.2
  • 21
    • 0035897963 scopus 로고    scopus 로고
    • Numerical analysis of the learning of fuzzified neural networks from fuzzy if-then rules
    • H. Ishibuchi, M. Nii, "Numerical analysis of the learning of fuzzified neural networks from fuzzy if-then rules", Fuzzy Sets and Systems 120 (2001) 281-307.
    • (2001) Fuzzy Sets and Systems , vol.120 , pp. 281-307
    • Ishibuchi, H.1    Nii, M.2
  • 22
    • 0036714624 scopus 로고    scopus 로고
    • Mining fuzzy association rules for classification problems
    • Y. C. Hu, R. S. Chen and G. H. Tzeng, "Mining fuzzy association rules for classification problems", Computers and Industrial Engineering 43(4) (2002) 735-750.
    • (2002) Computers and Industrial Engineering , vol.43 , Issue.4 , pp. 735-750
    • Hu, Y.C.1    Chen, R.S.2    Tzeng, G.H.3
  • 26
    • 0036790645 scopus 로고    scopus 로고
    • Generating learning sequences for decision makers through data mining and competence set expansion
    • to appear
    • Y. C. Hu, R. S. Chen and G. H. Tzeng, "Generating learning sequences for decision makers through data mining and competence set expansion", IEEE Transactions on Systems, Man, and Cybernetics (2002) (to appear).
    • (2002) IEEE Transactions on Systems, Man, and Cybernetics
    • Hu, Y.C.1    Chen, R.S.2    Tzeng, G.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.