메뉴 건너뛰기




Volumn 160, Issue 15, 2009, Pages 2206-2223

Data mining by attribute generalization with fuzzy hierarchies in fuzzy databases

Author keywords

Attribute oriented generalization; Data mining; Fuzzy databases; Fuzzy hierarchy

Indexed keywords

ATTRIBUTE-ORIENTED GENERALIZATION; DATA GENERALIZATIONS; FUZZY DATABASES; FUZZY HIERARCHY; FUZZY INFORMATIONS; INDUCTION PROCESS;

EID: 67349225425     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2009.02.014     Document Type: Article
Times cited : (25)

References (41)
  • 3
    • 67349106288 scopus 로고    scopus 로고
    • Generalization data mining in fuzzy object-oriented databases
    • Ma Z. (Ed), Idea Group Press, Hershey, PA
    • Angryk R., Ladner R., and Petry F. Generalization data mining in fuzzy object-oriented databases. In: Ma Z. (Ed). Fuzzy Object-Oriented Databases: Modeling and Applications (2004), Idea Group Press, Hershey, PA 85-112
    • (2004) Fuzzy Object-Oriented Databases: Modeling and Applications , pp. 85-112
    • Angryk, R.1    Ladner, R.2    Petry, F.3
  • 4
    • 34547211285 scopus 로고    scopus 로고
    • Attribute-oriented generalization in proximity and similarity-based relational database systems
    • Angryk R., and Petry F. Attribute-oriented generalization in proximity and similarity-based relational database systems. International Journal of Intelligent Systems 22 (2007) 763-779
    • (2007) International Journal of Intelligent Systems , vol.22 , pp. 763-779
    • Angryk, R.1    Petry, F.2
  • 5
    • 0037390557 scopus 로고    scopus 로고
    • Mining fuzzy association rules in a bank-account database
    • Au W., and Chan K. Mining fuzzy association rules in a bank-account database. IEEE Transactions on Fuzzy Systems 11 (2003) 238-248
    • (2003) IEEE Transactions on Fuzzy Systems , vol.11 , pp. 238-248
    • Au, W.1    Chan, K.2
  • 6
    • 0029309427 scopus 로고
    • Extension of the relational database and its algebra with rough set techniques
    • Beaubouef T., Buckles B., and Petry F. Extension of the relational database and its algebra with rough set techniques. Computational Intelligence 11 (1995) 26-34
    • (1995) Computational Intelligence , vol.11 , pp. 26-34
    • Beaubouef, T.1    Buckles, B.2    Petry, F.3
  • 7
    • 37349072463 scopus 로고    scopus 로고
    • An attribute-oriented approach for knowledge discovery in rough relational databases
    • Key West Fl
    • T. Beaubouef, B. Buckles, F. Petry, An attribute-oriented approach for knowledge discovery in rough relational databases, in: Proc. of FLAIRS, Vol. 20, Key West Fl, 2007, pp. 507-509.
    • (2007) Proc. of FLAIRS , vol.20 , pp. 507-509
    • Beaubouef, T.1    Buckles, B.2    Petry, F.3
  • 8
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • Bezdek J. Cluster validity with fuzzy sets. Journal of Cybernetics 3 (1974) 58-72
    • (1974) Journal of Cybernetics , vol.3 , pp. 58-72
    • Bezdek, J.1
  • 9
    • 0035792442 scopus 로고    scopus 로고
    • On some fuzzy extensions of association rules
    • IEEE Press, Piscataway, NJ
    • P. Bosc, O. Pivert, On some fuzzy extensions of association rules, in: Proc. of IFSA-NAFIPS 2001, IEEE Press, Piscataway, NJ, 2001, pp. 1104-1109.
    • (2001) Proc. of IFSA-NAFIPS , pp. 1104-1109
    • Bosc, P.1    Pivert, O.2
  • 11
    • 0032023773 scopus 로고    scopus 로고
    • Efficient attribute-oriented generalization for knowledge discovery from large databases
    • Carter C., and Hamilton H. Efficient attribute-oriented generalization for knowledge discovery from large databases. IEEE Transactions on Knowledge and Data Engineering 10 (1998) 193-208
    • (1998) IEEE Transactions on Knowledge and Data Engineering , vol.10 , pp. 193-208
    • Carter, C.1    Hamilton, H.2
  • 12
    • 0002682767 scopus 로고    scopus 로고
    • Fuzzy data mining: discovery of fuzzy generalized association rules
    • Bordogna G., and Pasi G. (Eds), Physica-Verlag, Heidelberg, GD
    • Chen G., Wei Q., and Kerre E. Fuzzy data mining: discovery of fuzzy generalized association rules. In: Bordogna G., and Pasi G. (Eds). Recent Issues on Fuzzy Databases (2000), Physica-Verlag, Heidelberg, GD 45-66
    • (2000) Recent Issues on Fuzzy Databases , pp. 45-66
    • Chen, G.1    Wei, Q.2    Kerre, E.3
  • 14
    • 0033361578 scopus 로고    scopus 로고
    • Data summarization in relational databases through fuzzy dependencies
    • Cubero J., Medina J., Pons O., and Vila M. Data summarization in relational databases through fuzzy dependencies. Information Sciences 121 (1999) 233-270
    • (1999) Information Sciences , vol.121 , pp. 233-270
    • Cubero, J.1    Medina, J.2    Pons, O.3    Vila, M.4
  • 15
    • 84943250374 scopus 로고    scopus 로고
    • J. de Graaf, W. Kosters, J. Witteman, Interesting fuzzy association rules in quantitative databases, in: Principles of Data Mining and Knowledge Discovery, Lecture Notes in Artificial Intelligence, 2168, Springer, Berlin, GD, 2001, pp. 140-151.
    • J. de Graaf, W. Kosters, J. Witteman, Interesting fuzzy association rules in quantitative databases, in: Principles of Data Mining and Knowledge Discovery, Lecture Notes in Artificial Intelligence, Vol. 2168, Springer, Berlin, GD, 2001, pp. 140-151.
  • 18
    • 0037249130 scopus 로고    scopus 로고
    • Using fuzzy linguistic representations to provide explanatory semantics for data warehouses
    • Feng L., and Dillon T. Using fuzzy linguistic representations to provide explanatory semantics for data warehouses. IEEE Transactions on Knowledge and Data Engineering 15 (2003) 86-102
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , pp. 86-102
    • Feng, L.1    Dillon, T.2
  • 20
    • 0035198467 scopus 로고    scopus 로고
    • A fuzzy approach for mining quantitative association rules
    • Gyenesei A. A fuzzy approach for mining quantitative association rules. Acta Cybernetica 15 (2001) 305-320
    • (2001) Acta Cybernetica , vol.15 , pp. 305-320
    • Gyenesei, A.1
  • 21
    • 0002738566 scopus 로고
    • Knowledge discovery in databases: An attribute-oriented approach
    • Vancouver, British Columbia, Canada
    • J. Han, Y. Cai, N. Cercone, Knowledge discovery in databases: an attribute-oriented approach, in: Proc. 18th VLDB Conf., Vancouver, British Columbia, Canada, 1992, pp. 547-559.
    • (1992) Proc. 18th VLDB Conf , pp. 547-559
    • Han, J.1    Cai, Y.2    Cercone, N.3
  • 25
  • 26
    • 0042591520 scopus 로고    scopus 로고
    • Fuzzy data mining for interesting generalized association rules
    • Hong T., Lin K., and Wang S. Fuzzy data mining for interesting generalized association rules. Fuzzy Sets and Systems 138 (2003) 255-269
    • (2003) Fuzzy Sets and Systems , vol.138 , pp. 255-269
    • Hong, T.1    Lin, K.2    Wang, S.3
  • 27
    • 0033280366 scopus 로고    scopus 로고
    • Fuzzy logic for linguistic summarization of databases
    • Seoul, Korea
    • J. Kacprzyk, Fuzzy logic for linguistic summarization of databases, in: Proc. 8th Internat. Conf. on Fuzzy Systems, Seoul, Korea, 1999, pp. 813-818.
    • (1999) Proc. 8th Internat. Conf. on Fuzzy Systems , pp. 813-818
    • Kacprzyk, J.1
  • 28
    • 0348132918 scopus 로고    scopus 로고
    • Mining fuzzy association rules in databases
    • Kuok C., Fu A., and Wong H. Mining fuzzy association rules in databases. ACM SIGMOD Record 27 (1998) 41-46
    • (1998) ACM SIGMOD Record , vol.27 , pp. 41-46
    • Kuok, C.1    Fu, A.2    Wong, H.3
  • 29
    • 26944494261 scopus 로고    scopus 로고
    • A new approach for the generation of fuzzy summaries based on fuzzy multidimensional databases
    • Laurent A. A new approach for the generation of fuzzy summaries based on fuzzy multidimensional databases. Intelligent Data Analysis 7 (2003) 155-177
    • (2003) Intelligent Data Analysis , vol.7 , pp. 155-177
    • Laurent, A.1
  • 31
    • 0035792351 scopus 로고    scopus 로고
    • Mining generalized fuzzy quantitative association rules with fuzzy generalization hierarchies
    • IEEE Press, Piscataway, NJ
    • K. Lee, Mining generalized fuzzy quantitative association rules with fuzzy generalization hierarchies, in: Proc. of IFSA-NAFIPS 2001, IEEE Press, Piscataway, NJ, 2001, pp. 2977-2982.
    • (2001) Proc. of IFSA-NAFIPS , pp. 2977-2982
    • Lee, K.1
  • 34
    • 0021522494 scopus 로고
    • Generalizing database relational algebra for the treatment of incomplete/uncertain information and vague queries
    • Prade H., and Testemale C. Generalizing database relational algebra for the treatment of incomplete/uncertain information and vague queries. Information Sciences 34 (1984) 115-143
    • (1984) Information Sciences , vol.34 , pp. 115-143
    • Prade, H.1    Testemale, C.2
  • 35
    • 0037118739 scopus 로고    scopus 로고
    • SAINTETIQ: a fuzzy set-based approach to database summarization
    • Raschia G., and Mouaddib N. SAINTETIQ: a fuzzy set-based approach to database summarization. Fuzzy Sets and Systems 129 (2002) 137-162
    • (2002) Fuzzy Sets and Systems , vol.129 , pp. 137-162
    • Raschia, G.1    Mouaddib, N.2
  • 36
    • 0035792352 scopus 로고    scopus 로고
    • Query fuzzy association rules in relational databases
    • IEEE Press, Piscataway, NJ
    • J. Shu, E. Tsang, D. Yeung, Query fuzzy association rules in relational databases, in: Proc. of IFSA-NAFIPS 2001, IEEE Press, Piscataway, NJ, 2001, pp. 2989-2993.
    • (2001) Proc. of IFSA-NAFIPS , pp. 2989-2993
    • Shu, J.1    Tsang, E.2    Yeung, D.3
  • 39
    • 0002350972 scopus 로고
    • On linguistic summaries of data
    • Piatesky-Shapiro G., and Frawley R. (Eds), MIT Press, Boston, MA
    • Yager R. On linguistic summaries of data. In: Piatesky-Shapiro G., and Frawley R. (Eds). Knowledge Discovery in Databases (1991), MIT Press, Boston, MA 347-363
    • (1991) Knowledge Discovery in Databases , pp. 347-363
    • Yager, R.1
  • 40
    • 33947236697 scopus 로고    scopus 로고
    • A multicriteria approach to data summarization using concept ontologies
    • Yager R., and Petry F. A multicriteria approach to data summarization using concept ontologies. IEEE Transactions on Fuzzy Systems 14 (2006) 767-780
    • (2006) IEEE Transactions on Fuzzy Systems , vol.14 , pp. 767-780
    • Yager, R.1    Petry, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.