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Volumn 15, Issue 1, 1999, Pages 28-49

Knowledge discovery in complex objects

Author keywords

Complex objects; Concatenation of contexts; Concept lattice; Implication rule generation; Knowledge discovery

Indexed keywords

LEARNING SYSTEMS; LINGUISTICS;

EID: 18644368583     PISSN: 08247935     EISSN: None     Source Type: Journal    
DOI: 10.1111/0824-7935.00080     Document Type: Article
Times cited : (7)

References (21)
  • 3
    • 0000696167 scopus 로고
    • The derivation and application of the Bradford-Zipf distribution
    • BROOKES, B. C. 1968. The derivation and application of the Bradford-Zipf distribution. Journal of Documentation, 24(4):247-265.
    • (1968) Journal of Documentation , vol.24 , Issue.4 , pp. 247-265
    • Brookes, B.C.1
  • 7
    • 0042857192 scopus 로고
    • Ph.D. thesis, Computer Science Department, University of Queensland, Queensland, Australia
    • ELLIS, G. 1995. Managing complex objects. Ph.D. thesis, Computer Science Department, University of Queensland, Queensland, Australia; http://www.cs.rmit.edu.au/̃ged/publications.html.
    • (1995) Managing Complex Objects
    • Ellis, G.1
  • 9
    • 0030285403 scopus 로고    scopus 로고
    • The KDD process for extracting useful knowledge from volumes of data
    • FAYYAD, U. M. et al. 1996. The KDD process for extracting useful knowledge from volumes of data. Comm. of the ACM, 39(11):27-34.
    • (1996) Comm. of the ACM , vol.39 , Issue.11 , pp. 27-34
    • Fayyad, U.M.1
  • 13
    • 0028516132 scopus 로고
    • An incremental concept formation approach for learning from databases
    • Special Issue on Formal Methods in Databases and Software Engineering
    • GODIN, R., and R. MISSAOUI. 1994. An incremental concept formation approach for learning from databases. In Theoretical Computer Science; Special Issue on Formal Methods in Databases and Software Engineering, 133:387-419.
    • (1994) Theoretical Computer Science , vol.133 , pp. 387-419
    • Godin, R.1    Missaoui, R.2
  • 14
    • 0029306863 scopus 로고
    • Incremental concept formation algorithms based on Galois (concept) lattices
    • GODIN, R., R. MISSAOUI, and H. ALAOUI. 1995. Incremental concept formation algorithms based on Galois (concept) lattices. Computational Intelligence, 11(2):246-267.
    • (1995) Computational Intelligence , vol.11 , Issue.2 , pp. 246-267
    • Godin, R.1    Missaoui, R.2    Alaoui, H.3
  • 15
    • 0002819235 scopus 로고
    • Families minimales d'implications informatives résultant d'un tableau de données binaires
    • GUIGUES, J. L., and V. DUQUENNE. 1986. Families minimales d'implications informatives résultant d'un tableau de données binaires. Mathématiques et Sciences Humaines, 95:5-18.
    • (1986) Mathématiques et Sciences Humaines , vol.95 , pp. 5-18
    • Guigues, J.L.1    Duquenne, V.2
  • 16
    • 84866800343 scopus 로고    scopus 로고
    • The WAVE system
    • October 15-19, 1996
    • KENT, R. E. 1996. The WAVE system. In WebNet'96. October 15-19, 1996. http:/wave.eecs.wsu.edu/WAVE/.
    • (1996) WebNet'96
    • Kent, R.E.1
  • 19
    • 84957549121 scopus 로고
    • Toscana: A graphical tool analysing and exploring data
    • Edited by R. Tamassia & I. G. Tollis. Springer-Verlag, Berlin
    • VOGT, F., and R. WILLE. 1995. Toscana: A Graphical Tool Analysing and Exploring Data. In Graph drawings. Edited by R. Tamassia & I. G. Tollis. Springer-Verlag, Berlin, pp. 226-233.
    • (1995) Graph Drawings , pp. 226-233
    • Vogt, F.1    Wille, R.2
  • 20
    • 0000398336 scopus 로고
    • Restructuring lattice theory: An approach based on hierarchies of concepts
    • Edited by I. Rival. D. Reidel, Dordrecht
    • WILLE, R. 1982. Restructuring lattice theory: An approach based on hierarchies of concepts. In Ordered Sets. Edited by I. Rival. D. Reidel, Dordrecht, pp. 445-470.
    • (1982) Ordered Sets , pp. 445-470
    • Wille, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.