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Volumn 2, Issue , 2003, Pages 880-887

Learning Decision Tree Classifiers from Attribute Value Taxonomies and Partially Specified Data

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ALGORITHMS; COLOR; DATA MINING; DECISION THEORY; LEARNING SYSTEMS; PROBLEM SOLVING; TREES (MATHEMATICS);

EID: 1942451927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (17)
  • 3
    • 1942482001 scopus 로고    scopus 로고
    • Learning with Concept Hierarchies in Probabilistic Relational Data Mining
    • Proceedings of the Third International Conference on Web Age Information Management. Springer-Verlag
    • Chen, J., Shapcott, M., McClean, S.I. & Adamson, K. (2002). Learning with Concept Hierarchies in Probabilistic Relational Data Mining. In: Proceedings of the Third International Conference on Web Age Information Management. Lecture Notes in Artificial Intelligence 2419: 104-115. Springer-Verlag.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2419 , pp. 104-115
    • Chen, J.1    Shapcott, M.2    McClean, S.I.3    Adamson, K.4
  • 4
    • 0034275407 scopus 로고    scopus 로고
    • An Efficient Rule-based Attribute-Oriented Induction for Data Mining
    • Cheung D., Hwang, H.Y., Fu, A. & Han, J. (2000). An Efficient Rule-based Attribute-Oriented Induction for Data Mining. J. Intelligent Information Systems 15: 175-200
    • (2000) J. Intelligent Information Systems , vol.15 , pp. 175-200
    • Cheung, D.1    Hwang, H.Y.2    Fu, A.3    Han, J.4
  • 6
    • 0024936405 scopus 로고
    • Resolving database incompatibility: An approach to performing relational operations over mismatched domains
    • DeMichiel, L.G. (1989). Resolving database incompatibility: an approach to performing relational operations over mismatched domains. IEEE Transactions on Knowledge and Data Engineering, 4, 485-493.
    • (1989) IEEE Transactions on Knowledge and Data Engineering , vol.4 , pp. 485-493
    • DeMichiel, L.G.1
  • 7
    • 84942916008 scopus 로고    scopus 로고
    • Using Feature Hierarchies in Bayesian Network Learning
    • Proceedings of the Symposium on Abstraction, Reformulation, Approximation. Springer-Verlag
    • desJardins, M., Getoor, L. & Koller, D. (2000). Using Feature Hierarchies in Bayesian Network Learning. In: Proceedings of the Symposium on Abstraction, Reformulation, Approximation. Lecture Notes in Artificial Intelligence 1864: 260-270. Springer-Verlag
    • (2000) Lecture Notes in Artificial Intelligence , vol.1864 , pp. 260-270
    • DesJardins, M.1    Getoor, L.2    Koller, D.3
  • 10
    • 0002479811 scopus 로고    scopus 로고
    • Exploration of the Power of Attribute-Oriented Induction in Data Mining
    • U.M. Fayyad, et. al. (eds.), MIT Press
    • Han, J. & Fu, Y. (1996). Exploration of the Power of Attribute-Oriented Induction in Data Mining. U.M. Fayyad, et. al. (eds.), Advances in Knowledge Discovery and Data Mining. MIT Press.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Han, J.1    Fu, Y.2
  • 12
    • 0026154832 scopus 로고
    • The Use of Background Knowledge in Decision Tree Induction
    • Núñez, M. (1991). The Use of Background Knowledge in Decision Tree Induction. Machine Learning 6:231-250.
    • (1991) Machine Learning , vol.6 , pp. 231-250
    • Núñez, M.1
  • 17
    • 62649104314 scopus 로고    scopus 로고
    • Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction
    • Proceedings of the Symposium on Abstraction, Reformulation, and Approximation. Springer-Verlag
    • Zhang, J., Silvescu, A. & Honavar, V. (2002). Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. In: Proceedings of the Symposium on Abstraction, Reformulation, and Approximation. Lecture Notes in Artificial Intelligence 2371: 316-323 Springer-Verlag.
    • (2002) Lecture Notes in Artificial Intelligence , vol.2371 , pp. 316-323
    • Zhang, J.1    Silvescu, A.2    Honavar, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.