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Volumn 1933, Issue , 2000, Pages 17-22

A survey of data mining techniques

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; INFORMATION ANALYSIS; MEDICAL APPLICATIONS; MEDICAL COMPUTING;

EID: 84855624271     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-39949-6_4     Document Type: Article
Times cited : (6)

References (20)
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    • Applications of inductive logic programming
    • November
    • [1]. Ivan Bratko and Stephen Muggleton. Applications of inductive logic programming. Communications of the ACM, 38(11):65-70, November 1995
    • (1995) Communications of the ACM , vol.38 , Issue.11 , pp. 65-70
    • Bratko, I.1    Muggleton, S.2
  • 3
    • 0002976263 scopus 로고
    • Recursive automatic bias selection for classifier construction
    • [3]. Carla E. Brodley. Recursive automatic bias selection for classifier construction. Machine Learning, 20:63-94, 1995.
    • (1995) Machine Learning , vol.20 , pp. 63-94
    • Brodley, C.E.1
  • 5
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • [5] Peter Clark and Tim Niblett. The CN2 induction algorithm. Machine Learning, 3:261, 1988.
    • (1988) Machine Learning , vol.3 , pp. 261
    • Clark, P.1    Niblett, T.2
  • 7
  • 8
    • 0002475334 scopus 로고    scopus 로고
    • A survey of data mining and knowledge discovery software tools
    • ACM SIGKDD, June
    • [8] Michael Goebel and Le Gruenwald. A survey of data mining and knowledge discovery software tools. In SIGKDD Explorations. ACM SIGKDD, June 1999.
    • (1999) SIGKDD Explorations
    • Goebel, M.1    Le, G.2
  • 12
    • 0029407395 scopus 로고
    • Applications of machine learning and rule induction
    • Nov
    • [12]. Pat Langley and H.A. Simon. Applications of machine learning and rule induction. Communications of the ACM, 38(11):55-64, Nov 1995.
    • (1995) Communications of the ACM , vol.38 , Issue.11 , pp. 55-64
    • Langley, P.1    Simon, H.A.2
  • 14
    • 0345567198 scopus 로고    scopus 로고
    • An empirical comparison of decision trees and other classification methods
    • University of Wisconsin-Madison, Madison, WI, June 30
    • [14]. T.-S. Lim, W.-Y. Loh, and Y.-S. Shih. An empirical comparison of decision trees and other classification methods. Technical Report 979, Department of Statistics, University of Wisconsin-Madison, Madison, WI, June 30 1997.
    • (1997) Technical Report 979, Department of Statistics
    • Lim, T.-S.1    Loh, W.-Y.2    Shih, Y.-S.3
  • 16
    • 0003915394 scopus 로고
    • The AQ15 inductive learning system: An overview and experiments
    • Orsay, Université de Paris-Sud
    • [16]. R. Michalski, I. Mozetic, J. Hong, and N. Lavrac. The AQ15 inductive learning system: an overview and experiments. In Proceedings of IMAL 1986, Orsay, 1986. Université de Paris-Sud.
    • (1986) Proceedings of IMAL 1986
    • Michalski, R.1    Mozetic, I.2    Hong, J.3    Lavrac, N.4
  • 17
    • 0000942050 scopus 로고
    • A theory and methodology of inductive learning
    • [17]. R S Michalski. A theory and methodology of inductive learning. Artificial Intelligence, 20:111-161, 1983.
    • (1983) Artificial Intelligence , vol.20 , pp. 111-161
    • Michalski, R.S.1
  • 20
    • 0003583118 scopus 로고    scopus 로고
    • A Practical Guide.Morgan Kaufmann. San Frncisco, CA
    • [20] Weiss, S and Indurkhya:. Predictive Data Mining. A Practical Guide.Morgan Kaufmann. San Frncisco, CA. 1998.
    • (1998) Predictive Data Mining
    • Weissand, S.1    Indurkhya2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.