메뉴 건너뛰기




Volumn 1642, Issue , 1999, Pages 303-314

Building classes in object-based languages by automatic clustering

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION ANALYSIS;

EID: 84957622185     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48412-4_26     Document Type: Conference Paper
Times cited : (2)

References (12)
  • 3
    • 0242480962 scopus 로고
    • Why and how to define a similarity measure for object-based representation systems
    • N.J.I. Mars, editor, Amsterdam. IOS Press
    • G. Bisson. Why and how to define a similarity measure for object-based representation systems. In N.J.I. Mars, editor, Towards Very Large Knowledge Bases, pages 236-246, Amsterdam, 1995. IOS Press.
    • (1995) Towards Very Large Knowledge Bases , pp. 236-246
    • Bisson, G.1
  • 6
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D.H. Fisher. Knowledge acquisition via incremental conceptual clustering. Machine Learning, 2:139-172, 1987.
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.H.1
  • 7
    • 0032022027 scopus 로고    scopus 로고
    • Generalization-based data mining in object-oriented databases using an object-cube model
    • J. Han, S. Nishio, H. Kawano, and W. Wang. Generalization-based data mining in object-oriented databases using an object-cube model. IEEE Transactions on Knowlwdge and Data Engineering, 25(1):55-97, 1998.
    • (1998) IEEE Transactions on Knowlwdge and Data Engineering , vol.25 , Issue.1 , pp. 55-97
    • Han, J.1    Nishio, S.2    Kawano, H.3    Wang, W.4
  • 9
    • 0342984487 scopus 로고
    • A polynomial approach to the constructive induction of structural knowledge
    • J.-U. Kietz and K. Morik. A polynomial approach to the constructive induction of structural knowledge. Machine Learning, 14(2):193-217, 1994.
    • (1994) Machine Learning , vol.14 , Issue.2 , pp. 193-217
    • Kietz, J.-U.1    Morik, K.2
  • 10
    • 0003046842 scopus 로고
    • volume I, chapter Learning from observation: conceptual clustering. Tioga publishing company, Palo Alto (CA US)
    • R. Michalski and R. Stepp. Machine learning: an Artificial Intelligence approach, volume I, chapter Learning from observation: conceptual clustering, pages 331-363. Tioga publishing company, Palo Alto (CA US), 1983.
    • (1983) Machine learning: An Artificial Intelligence approach , pp. 331-363
    • Michalski, R.1    Stepp, R.2
  • 11
    • 84949749091 scopus 로고    scopus 로고
    • Dissimilarity measure for collections of objects and values
    • P. Coen X. Liu and M. Berthold, editors, volume 1280 of Lecture Notes in Computer Science
    • P. Valtchev and J. Euzenat. Dissimilarity measure for collections of objects and values. In P. Coen X. Liu and M. Berthold, editors, Proceedings of the 2nd Symposium on Intelligent Data Analysis., volume 1280 of Lecture Notes in Computer Science, pages 259-272, 1997.
    • (1997) Proceedings of the 2nd Symposium on Intelligent Data Analysis , pp. 259-272
    • Valtchev, P.1    Euzenat, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.