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Volumn , Issue , 1997, Pages 135-138

MineSet: An Integrated System for Data Mining

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLIENT SERVER COMPUTER SYSTEMS; CLUSTERING ALGORITHMS; DATA MINING; DATABASE SYSTEMS; ITERATIVE METHODS; THREE DIMENSIONAL COMPUTER GRAPHICS; VISUALIZATION;

EID: 85047342259     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (71)

References (9)
  • 1
    • 0002419948 scopus 로고    scopus 로고
    • Beyond independence: conditions for the optimality of the simple Bayesian classifier
    • Saitta, L., ed., Morgan Kaufmann
    • Domingos, P., and Pazzani, M. 1996. Beyond independence: conditions for the optimality of the simple Bayesian classifier. In Saitta, L., ed., Machine Learning: Proceedings of the Thirteenth International Conference, 105-112. Morgan Kaufmann.
    • (1996) Machine Learning: Proceedings of the Thirteenth International Conference , pp. 105-112
    • Domingos, P.1    Pazzani, M.2
  • 5
    • 0342748795 scopus 로고    scopus 로고
    • Option decision trees with majority votes
    • Fisher, D., ed., Morgan Kaufmann Publishers, Inc. Kohavi, R., and Li, C.-H. 1995. Oblivious decision trees, graphs, and top-down pruning Mellish, C. S., ed., Proceedings of the l^th International Joint Conference on Artificial Intelligence, Morgan Kaufmann
    • Kohavi, R., and Kunz, C. 1997. Option decision trees with majority votes. In Fisher, D., ed., Machine Learning: Proceedings of the Fourteenth International Conference. Morgan Kaufmann Publishers, Inc. Kohavi, R., and Li, C.-H. 1995. Oblivious decision trees, graphs, and top-down pruning. In Mellish, C. S., ed., Proceedings of the l^th International Joint Conference on Artificial Intelligence, 1071-1077. Morgan Kaufmann.
    • (1997) Machine Learning: Proceedings of the Fourteenth International Conference , pp. 1071-1077
    • Kohavi, R.1    Kunz, C.2
  • 6
    • 0030422272 scopus 로고    scopus 로고
    • Data mining using MCC++: A machine learning library in C++
    • IEEE Computer Society Press
    • Kohavi, R.; Sommerfield, D.; and Dougherty, J. 1996. Data mining using MCC++: A machine learning library in C++. In Tools with Artificial Intelligence, 234-245. IEEE Computer Society Press. http://www.sgi.com/Technology/mlc.
    • (1996) Tools with Artificial Intelligence , pp. 234-245
    • Kohavi, R.1    Sommerfield, D.2    Dougherty, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.