메뉴 건너뛰기




Volumn 42, Issue 2, 2006, Pages 674-689

A new approach to classification based on association rule mining

Author keywords

Association rule; Classification; Data mining; Information gain

Indexed keywords

ASSOCIATION RULE; INFORMATION GAIN; ITEMSETS;

EID: 33749543645     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2005.03.005     Document Type: Article
Times cited : (164)

References (37)
  • 1
    • 0001882616 scopus 로고
    • Fast algorithm for mining association rules
    • Morgan Kaufmann, Santiago, Chile
    • Agrawal R., and Srikant R. Fast algorithm for mining association rules. Proceeding of the 20th VLDB conference (1994), Morgan Kaufmann, Santiago, Chile 487-499
    • (1994) Proceeding of the 20th VLDB conference , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 84929365371 scopus 로고    scopus 로고
    • CLOUDS: a decision tree classifier for large datasets
    • Agrawal R., Stolorz P., and Piatetsky-Shapiro G. (Eds), AAAI Press, Newport Beach, California New York, New York
    • Alsabti K., Ranka S., and Singh V. CLOUDS: a decision tree classifier for large datasets. In: Agrawal R., Stolorz P., and Piatetsky-Shapiro G. (Eds). Proceeding of the Fourth Int. Conference on Knowledge Discovery and Data Mining (1998), AAAI Press, Newport Beach, California 2-8 New York, New York
    • (1998) Proceeding of the Fourth Int. Conference on Knowledge Discovery and Data Mining , pp. 2-8
    • Alsabti, K.1    Ranka, S.2    Singh, V.3
  • 9
    • 33749576538 scopus 로고    scopus 로고
    • J. Catlett, Megainduction: Machine Learning on Very Large Databases. PhD thesis, University of Sydney, 1991.
  • 11
    • 0036850692 scopus 로고    scopus 로고
    • Fuzzy association rules and the extended mining algorithms
    • Chen G.Q., and Wei Q. Fuzzy association rules and the extended mining algorithms. Information Sciences 147 (2002) 201-228
    • (2002) Information Sciences , vol.147 , pp. 201-228
    • Chen, G.Q.1    Wei, Q.2
  • 12
    • 0002682767 scopus 로고    scopus 로고
    • Fuzzy data mining: discovery of fuzzy generalized association rules
    • Bordogna G., and Pasi G. (Eds), Physica-Verlag (Springer)
    • Chen G.Q., Wei Q., and Kerre E. Fuzzy data mining: discovery of fuzzy generalized association rules. In: Bordogna G., and Pasi G. (Eds). Recent Research Issues on the Management of Fuzziness in Databases (1999), Physica-Verlag (Springer)
    • (1999) Recent Research Issues on the Management of Fuzziness in Databases
    • Chen, G.Q.1    Wei, Q.2    Kerre, E.3
  • 18
    • 33749572411 scopus 로고    scopus 로고
    • Harshbarger,Thad R., Introductory Statistics: A Decision Map, second edition. The City College, City University of New York, P 376, Macmillan Publishing Co., Inc. New York, Collier Macmillan Publishers, London, 1977.
  • 19
    • 33749569779 scopus 로고    scopus 로고
    • http://www.almaden.ibm.com/software/quest/Resources/datasets/syndata.html#classSynData.
  • 20
    • 78149313084 scopus 로고    scopus 로고
    • CMAR: accurate and efficient classification based on multiple class-association rules
    • IEEE Computer Society, San Jose, California
    • Li W., Han J., and Pei J. CMAR: accurate and efficient classification based on multiple class-association rules. ICDM 2001 (2001), IEEE Computer Society, San Jose, California 369-376
    • (2001) ICDM 2001 , pp. 369-376
    • Li, W.1    Han, J.2    Pei, J.3
  • 21
    • 84948104699 scopus 로고    scopus 로고
    • Integrity classification and association rule mining
    • Agrawal R., Stolorz P., and Piatetsky-Shapiro G. (Eds), AAAI Press, New York, New York
    • Liu B., Hsu W., and Ma Y. Integrity classification and association rule mining. In: Agrawal R., Stolorz P., and Piatetsky-Shapiro G. (Eds). Proceeding of the Fourth Int. Conference on Knowledge Discovery and Data Mining (1998), AAAI Press, New York, New York 80-86
    • (1998) Proceeding of the Fourth Int. Conference on Knowledge Discovery and Data Mining , pp. 80-86
    • Liu, B.1    Hsu, W.2    Ma, Y.3
  • 23
    • 0037784810 scopus 로고    scopus 로고
    • Classification using association rules: weaknesses and enhancements
    • Kumar V., et al. (Ed)
    • Liu B., Ma Y., and Wong C. Classification using association rules: weaknesses and enhancements. In: Kumar V., et al. (Ed). Data Mining for Scientific and Engineering Applications (2001) 591
    • (2001) Data Mining for Scientific and Engineering Applications , pp. 591
    • Liu, B.1    Ma, Y.2    Wong, C.3
  • 24
    • 35248893127 scopus 로고    scopus 로고
    • Decision tables: Scalable classification exploring RDBMS capabilities
    • Morgan Kaufmann, Cairo, Egypt
    • Lu H., and Liu H. Decision tables: Scalable classification exploring RDBMS capabilities. Proceeding of the 26th International Conference on Very Large Databases (2000), Morgan Kaufmann, Cairo, Egypt 373-384
    • (2000) Proceeding of the 26th International Conference on Very Large Databases , pp. 373-384
    • Lu, H.1    Liu, H.2
  • 33
    • 0002139432 scopus 로고    scopus 로고
    • SPRINT: A scalable parallel classifier for data mining
    • Morgan Kaufmann, India
    • Shafer J., Agrawal R., and Mehta M. SPRINT: A scalable parallel classifier for data mining. Proceeding of the 22nd VLDB Conference (1996), Morgan Kaufmann, India 544-555
    • (1996) Proceeding of the 22nd VLDB Conference , pp. 544-555
    • Shafer, J.1    Agrawal, R.2    Mehta, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.