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Volumn , Issue , 1997, Pages 74-81

JAM: Java Agents for Meta-Learning over Distributed Databases

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMS; ARTIFICIAL INTELLIGENCE; DISTRIBUTED DATABASE SYSTEMS; INTELLIGENT AGENTS; INTRUSION DETECTION;

EID: 85172423269     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (203)

References (12)
  • 4
    • 85152630265 scopus 로고
    • A comparative evaluation of voting and meta-learning on partitioned data
    • Chan, P., and Stolfo, S. 1995a. A comparative evaluation of voting and meta-learning on partitioned data. In Proc. Twelfth Intl. Conf. Machine Learning, 90-98.
    • (1995) Proc. Twelfth Intl. Conf. Machine Learning , pp. 90-98
    • Chan, P.1    Stolfo, S.2
  • 5
    • 0001930206 scopus 로고
    • Learning arbiter and combiner trees from partitioned data for scaling machine learning
    • Chan, P., and Stolfo, S. 1995b. Learning arbiter and combiner trees from partitioned data for scaling machine learning. In Proc. Intl. Conf. Knowledge Discovery and Data Mining, 39-44.
    • (1995) Proc. Intl. Conf. Knowledge Discovery and Data Mining , pp. 39-44
    • Chan, P.1    Stolfo, S.2
  • 6
    • 85172420920 scopus 로고    scopus 로고
    • Ph.D. Dissertation, Department of Computer Science, Columbia University, New York, NY. Clark, P., and Niblett, T. 1989. The CN2 induction algorithm. Machine Learning 3:261-285. Cohen, W. W. 1995. Fast effective rule induction Proc. Twelfth Intl. Conf., Morgan Kaufmann. Cost, S., and Salzberg, S. 1993. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning 10:57-78
    • Chan, P. 1996. An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning. Ph.D. Dissertation, Department of Computer Science, Columbia University, New York, NY. Clark, P., and Niblett, T. 1989. The CN2 induction algorithm. Machine Learning 3:261-285. Cohen, W. W. 1995. Fast effective rule induction. In Proc. Twelfth Intl. Conf., Morgan Kaufmann. Cost, S., and Salzberg, S. 1993. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning 10:57-78.
    • (1996) An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning
    • Chan, P.1
  • 8
    • 0030285403 scopus 로고    scopus 로고
    • The kdd process for extracting useful knowledge from data
    • Lee, W.; Barghouti, N. S.; and Moccenigo, J. 1997. Grappa: Graph package in java Graph Drawing, Rome, Italy
    • Fayyad, U.; Piatetsky-Shapiro, G.; and Smyth, P. 1996. The kdd process for extracting useful knowledge from data. Comm. of the ACM 39(11):27-34. Lee, W.; Barghouti, N. S.; and Moccenigo, J. 1997. Grappa: Graph package in java. In Graph Drawing, Rome, Italy.
    • (1996) Comm. of the ACM , vol.39 , Issue.11 , pp. 27-34
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 9
    • 0003408496 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • Dept. of Info. and Comp., Univ. of California, Irvine. Quinlan, J. R. 1986. Induction of decision trees. Machine Learning
    • Merz, C., and Murphy, P. 1996. UCI repository of machine learning databases [http://www.ics.uci.edu/~mlearn/mlrepository.html]. Dept. of Info. and Comp., Univ. of California, Irvine. Quinlan, J. R. 1986. Induction of decision trees. Machine Learning 1:81-106.
    • (1996) , vol.1 , pp. 81-106
    • Merz, C.1    Murphy, P.2
  • 11
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert, D. 1992. Stacked generalization. Neural Networks 5:241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.