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Volumn 21, Issue 1, 1997, Pages 29-42

Discovering and using knowledge from unsupervised data

Author keywords

Case based reasoning; Concept hierarchy; Knowledge discovery; Matching approaches; Unsupervised data; Views on concepts

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION MAKING; HIERARCHICAL SYSTEMS; LEARNING ALGORITHMS;

EID: 0031224070     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9236(97)00011-0     Document Type: Article
Times cited : (14)

References (35)
  • 1
    • 0011691180 scopus 로고
    • Learning two-tiered descriptions of flexible concepts: The POSEIDON system
    • F. Bergadano, S. Matwin, R.S. Michalski, J. Zhang, Learning two-tiered descriptions of flexible concepts: the POSEIDON system, Machine Learning 8 (1992) 5-43.
    • (1992) Machine Learning , vol.8 , pp. 5-43
    • Bergadano, F.1    Matwin, S.2    Michalski, R.S.3    Zhang, J.4
  • 4
    • 0030215881 scopus 로고    scopus 로고
    • A lattice conceptual clustering system and its application to browsing retrieval
    • C. Carpenito, G. Romano, A lattice conceptual clustering system and its application to browsing retrieval. Machine Learning 10 (1996) 95-122.
    • (1996) Machine Learning , vol.10 , pp. 95-122
    • Carpenito, C.1    Romano, G.2
  • 5
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (AutoClass): Theory and results
    • U.M. Fayyad, et al. (Eds.), AAAI Press/MIT Press
    • P. Cheeseman, J. Stutz, Bayesian classification (AutoClass): Theory and results, in: U.M. Fayyad, et al. (Eds.), Advances in Knowledge Discovery and Data Mining, AAAI Press/MIT Press, 1996, pp. 153-180.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 153-180
    • Cheeseman, P.1    Stutz, J.2
  • 6
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark, T. Niblett, The CN2 induction algorithm, Machine Learning 3 (1989) 261-284.
    • (1989) Machine Learning , vol.3 , pp. 261-284
    • Clark, P.1    Niblett, T.2
  • 9
    • 0343442766 scopus 로고
    • Knowledge acquisition via incremental conceptual clustering
    • D. Fisher, Knowledge acquisition via incremental conceptual clustering, Machine Learning 2 (1987) 139-172.
    • (1987) Machine Learning , vol.2 , pp. 139-172
    • Fisher, D.1
  • 10
    • 0001790815 scopus 로고
    • Knowledge discovery in databases: An overview
    • G. Piatetsky-Shapiro, W.J. Frawley (Eds.), AAAI Press
    • W.J. Frawley, G. Piatetsky-Shapiro, C.J. Matheus, Knowledge discovery in databases: an overview, in: G. Piatetsky-Shapiro, W.J. Frawley (Eds.), Knowledge Discovery in Databases, AAAI Press, 1993, pp. 1-27.
    • (1993) Knowledge Discovery in Databases , pp. 1-27
    • Frawley, W.J.1    Piatetsky-Shapiro, G.2    Matheus, C.J.3
  • 11
    • 0028516132 scopus 로고
    • An incremental concept formation approach for learning from databases
    • R. Godin, R. Missaoui, An incremental concept formation approach for learning from databases, Theor. Comput. Sci. 133 (1994) 387-419.
    • (1994) Theor. Comput. Sci. , vol.133 , pp. 387-419
    • Godin, R.1    Missaoui, R.2
  • 12
    • 0000783818 scopus 로고
    • Conceptual clustering, categorization and polymorphy
    • S.J. Hanson, M. Bauer, Conceptual clustering, categorization and polymorphy, Machine Learning 3 (1989) 343-372.
    • (1989) Machine Learning , vol.3 , pp. 343-372
    • Hanson, S.J.1    Bauer, M.2
  • 16
    • 0029308734 scopus 로고
    • An approach to concept formation based on formal concept analysis
    • T.B. Ho, An approach to concept formation based on formal concept analysis, IEICE Trans. Inf. Systems E78-D (5) (1995) 553-559.
    • (1995) IEICE Trans. Inf. Systems , vol.E78-D , Issue.5 , pp. 553-559
    • Ho, T.B.1
  • 17
    • 0039924135 scopus 로고    scopus 로고
    • A hybrid model for concept formation
    • Y. Tanaka, et al. (Eds.), IOS Publisher
    • T.B. Ho, A hybrid model for concept formation, in: Y. Tanaka, et al. (Eds.), Information Modelling and Knowledge Bases VII, IOS Publisher, 1996, pp. 22-35.
    • (1996) Information Modelling and Knowledge Bases , vol.7 , pp. 22-35
    • Ho, T.B.1
  • 19
    • 0040517048 scopus 로고
    • On the concept of concept for conceptual modelling and concept detection
    • S. Ohsuga, et al. (Eds.), IOS Press
    • H. Kangassalo, On the concept of concept for conceptual modelling and concept detection, in: S. Ohsuga, et al. (Eds.), Information Modelling and Knowledge Bases III, IOS Press, 1992, pp. 17-58.
    • (1992) Information Modelling and Knowledge Bases , vol.3 , pp. 17-58
    • Kangassalo, H.1
  • 20
    • 0030262739 scopus 로고    scopus 로고
    • An interactive-graphic environment for automatic generation of decision trees
    • T. Kervahut, J.Y. Potvin, An interactive-graphic environment for automatic generation of decision trees, Decision Support Systems 18 (1996) 117-1343.
    • (1996) Decision Support Systems , vol.18 , pp. 117-1343
    • Kervahut, T.1    Potvin, J.Y.2
  • 25
    • 2342463258 scopus 로고
    • Acquiring and combining overlapping concepts
    • J.D. Martin, D.O. Billman, Acquiring and combining overlapping concepts, Machine Learning 10 (1994) 121-155.
    • (1994) Machine Learning , vol.10 , pp. 121-155
    • Martin, J.D.1    Billman, D.O.2
  • 26
    • 0003046842 scopus 로고
    • Learning from observation: Conceptual learning
    • R.S. Michalski, J.G. Carbonelle, T.M. Michell (Eds.), Morgan Kaufmann
    • R.S. Michalski, R.E. Stepp, Learning from observation: conceptual learning, in: R.S. Michalski, J.G. Carbonelle, T.M. Michell (Eds.), Machine Learning: An Artificial Intelligence Approach, Vol. 1, Morgan Kaufmann, 1983, pp. 331-363.
    • (1983) Machine Learning: An Artificial Intelligence Approach , vol.1 , pp. 331-363
    • Michalski, R.S.1    Stepp, R.E.2
  • 27
    • 0039093111 scopus 로고
    • Learning flexible concepts: Fundamental ideas and a method based on two-tiered representation
    • R.S. Michalski, Y. Kodratoff (Eds.), Morgan Kaufmann
    • R.S. Michalski, Learning flexible concepts: Fundamental ideas and a method based on two-tiered representation, in: R.S. Michalski, Y. Kodratoff (Eds.), Machine Learning: An Artificial Intelligence Approach, Vol. III, Morgan Kaufmann, 1990.
    • (1990) Machine Learning: An Artificial Intelligence Approach , vol.3
    • Michalski, R.S.1
  • 32
    • 0000398336 scopus 로고
    • Restructuring lattice theory: An approach based on hierarchies of concepts
    • I. Rival (Ed.), Reidel
    • R. Wille, Restructuring lattice theory: an approach based on hierarchies of concepts, in: I. Rival (Ed.), Ordered Sets, Reidel, 1982, pp. 445-470.
    • (1982) Ordered Sets , pp. 445-470
    • Wille, R.1
  • 34
    • 0039924132 scopus 로고    scopus 로고
    • Hybrid interpretation of induction results
    • N. Terashima, E. Altman (Eds.), Chapman & Hall
    • X. Wu, Hybrid interpretation of induction results, in: N. Terashima, E. Altman (Eds.), Advanced IT Tools, Chapman & Hall, 1996, pp. 497-506.
    • (1996) Advanced IT Tools , pp. 497-506
    • Wu, X.1
  • 35
    • 0002856251 scopus 로고
    • Interactive mining of regularities in databases
    • G. Piatetsky-Shapiro, W.J. Frawley (Eds.), AAAI Press
    • J. Zytkow, J. Baker, Interactive mining of regularities in databases, in: G. Piatetsky-Shapiro, W.J. Frawley (Eds.), Knowledge Discovery in Databases, AAAI Press, 1993, pp. 31-53.
    • (1993) Knowledge Discovery in Databases , pp. 31-53
    • Zytkow, J.1    Baker, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.