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Volumn 2835, Issue , 2003, Pages 197-214

Comparative evaluation of approaches to propositionalization

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; LOGIC PROGRAMMING; OBJECT ORIENTED PROGRAMMING; PROBLEM SOLVING; PROPORTIONAL CONTROL SYSTEMS; COMPUTER CIRCUITS; DATA HANDLING; RECONFIGURABLE HARDWARE;

EID: 9444220847     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39917-9_14     Document Type: Conference Paper
Times cited : (81)

References (25)
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    • Guide to the financial data set
    • A. Siebes and P. Berka, editors
    • P. Berka. Guide to the Financial Data Set. In A. Siebes and P. Berka, editors, PKDD 2000 Discovery Challenge, 2000.
    • (2000) PKDD 2000 Discovery Challenge
    • Berka, P.1
  • 3
    • 0032069371 scopus 로고    scopus 로고
    • Top-down induction of first-order logical decision trees
    • H. Blockeel and L. De Raedt. Top-down induction of first-order logical decision trees. Artificial Intelligence, 101(1-2):285-297, 1998.
    • (1998) Artificial Intelligence , vol.101 , Issue.1-2 , pp. 285-297
    • Blockeel, H.1    De Raedt, L.2
  • 5
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • P. Clark and T. Niblett. The CN2 induction algorithm. Machine Learning, 3:261-283, 1989.
    • (1989) Machine Learning , vol.3 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 11
    • 1942515438 scopus 로고    scopus 로고
    • Propositionalization approaches to relational data mining
    • N. Lavrač and S. Džeroski, editors. Springer
    • S. Kramer, N. Lavrač, and P.A. Flach. Propositionalization Approaches to Relational Data Mining. In N. Lavrač and S. Džeroski, editors, Relational Data Mining, pages 262-291. Springer, 2001.
    • (2001) Relational Data Mining , pp. 262-291
    • Kramer, S.1    Lavrač, N.2    Flach, P.A.3
  • 14
    • 85008021624 scopus 로고    scopus 로고
    • An extended transformation approach to inductive logic programming
    • N. Lavrač and P.A. Flach. An extended transformation approach to Inductive Logic Programming. ACM Transactions on Computational Logic, 2(4):458-494, 2001.
    • (2001) ACM Transactions on Computational Logic , vol.2 , Issue.4 , pp. 458-494
    • Lavrač, N.1    Flach, P.A.2
  • 22
    • 33646436321 scopus 로고    scopus 로고
    • Feature construction with inductive logic programming: A study of quantitative predictions of biological activity aided by structural attributes
    • S. Muggleton, editor, LNAI. Springer
    • A. Srinivasan and R.D. King. Feature construction with inductive logic programming: A study of quantitative predictions of biological activity aided by structural attributes. In S. Muggleton, editor, Proceedings of the Sixth International Conference on Inductive Logic Programming (ILP), LNAI 1314, pages 89-104. Springer, 1996.
    • (1996) Proceedings of the Sixth International Conference on Inductive Logic Programming (ILP) , vol.1314 , pp. 89-104
    • Srinivasan, A.1    King, R.D.2
  • 23
    • 0030212927 scopus 로고    scopus 로고
    • Theories for mutagenicity: A study in first-order and feature-based induction
    • A. Srinivasan, S.H. Muggleton, M.J.E. Sternberg, and R. King. Theories for mutagenicity: A study in first-order and feature-based induction. Artificial Intelligence, 85(1,2):277-299, 1996.
    • (1996) Artificial Intelligence , vol.85 , Issue.1-2 , pp. 277-299
    • Srinivasan, A.1    Muggleton, S.H.2    Sternberg, M.J.E.3    King, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.