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Volumn 174, Issue 2, 2006, Pages 930-944

TASC: Two-attribute-set clustering through decision tree construction

Author keywords

Clustering; Data mining; Decision tree

Indexed keywords

ALGORITHMS; DATA MINING; DECISION THEORY; PROBLEM SOLVING; SET THEORY; TREES (MATHEMATICS);

EID: 33746238956     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2005.04.029     Document Type: Article
Times cited : (10)

References (20)
  • 1
    • 0347172110 scopus 로고    scopus 로고
    • Ankerst, M., Breunig, M., Kriegel, H.-P., Sander, J., 1999. OPTICS: Ordering points to identify clustering structure. In: Proceedings of the ACM SIGMOD Conference, Philadelphia, PA, pp. 49-60.
  • 2
    • 0032090765 scopus 로고    scopus 로고
    • Agrawal, R., Gehrke, J., Gunopulos, D., Raghavan, P., 1999. Automatic subspace clustering of high dimensional data for data mining applications. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 94-105.
  • 3
    • 17444395585 scopus 로고    scopus 로고
    • Interpretable hierarchical clustering by constructing an unsupervised decision tree
    • Basak J., and Krishnapuram R. Interpretable hierarchical clustering by constructing an unsupervised decision tree. IEEE Transactions on Knowledge and Data Engineering 17 1 (2005) 121-132
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.1 , pp. 121-132
    • Basak, J.1    Krishnapuram, R.2
  • 5
    • 0037507339 scopus 로고    scopus 로고
    • Constructing a multi-valued and multi-labeled decision tree
    • Chen Y.L., Hsu C.L., and Chou S.C. Constructing a multi-valued and multi-labeled decision tree. Expert Systems with Applications 25 2 (2003) 199-209
    • (2003) Expert Systems with Applications , vol.25 , Issue.2 , pp. 199-209
    • Chen, Y.L.1    Hsu, C.L.2    Chou, S.C.3
  • 6
    • 33746197954 scopus 로고    scopus 로고
    • Cheng, C.H., Fu, A.W., Zhang, Y., 1999. Entropy-based subspace clustering for mining numerical data. In: Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 84-93.
  • 7
  • 9
    • 0032091595 scopus 로고    scopus 로고
    • Guha, S., Rastogi, R., and Shim, K., 1998. CURE: An efficient clustering algorithm for large databases. In: Proceedings of the ACM SIGMOD Conference, Seattle, WA, pp. 73-84.
  • 13
    • 0032686723 scopus 로고    scopus 로고
    • CHAMELEON: A hierarchical clustering algorithm using dynamic modeling
    • Karypis G., Han E.-H., and Kumar V. CHAMELEON: A hierarchical clustering algorithm using dynamic modeling. Computer 32 (1999) 68-75
    • (1999) Computer , vol.32 , pp. 68-75
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 14
    • 33746207732 scopus 로고    scopus 로고
    • Keim, D., Hinneburg, A., 1999. Clustering techniques for large data sets: From the past to the future. KDD Tutorial Notes 1999, pp. 141-181.
  • 15
    • 0030837203 scopus 로고    scopus 로고
    • Constructing a fuzzy controller from data
    • Klawonn F., and Kruse R. Constructing a fuzzy controller from data. Fuzzy Sets and Systems 85 (1997) 177-193
    • (1997) Fuzzy Sets and Systems , vol.85 , pp. 177-193
    • Klawonn, F.1    Kruse, R.2
  • 16
    • 33746199778 scopus 로고    scopus 로고
    • Liu, B., Xia, Y., Yu, P., 2000. Clustering through decision tree construction. In: Proceedings of the 2000 ACM CIKM International Conference on Information and Knowledge Management, pp. 20-29.
  • 20
    • 0032147655 scopus 로고    scopus 로고
    • A comparative study of fuzzy sets and rough sets
    • Yao Y.Y. A comparative study of fuzzy sets and rough sets. Journal of Information Sciences 109 (1998) 227-242
    • (1998) Journal of Information Sciences , vol.109 , pp. 227-242
    • Yao, Y.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.