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Volumn 22, Issue 2, 2007, Pages 62-68

A heuristic approach to learning rules from fuzzy databases

Author keywords

[No Author keywords available]

Indexed keywords

FARNI; FUZZY DECISION TREES; IMPURITY-LEVEL EXTENSION; RULE SET;

EID: 33947700356     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2007.19     Document Type: Review
Times cited : (6)

References (18)
  • 2
    • 33744584654 scopus 로고
    • Induction of Decision Trees
    • J.R. Quinlan, "Induction of Decision Trees," Machine Learning, vol. 1, no. 1, 1986, pp. 81-106.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 3
    • 0024103809 scopus 로고
    • PRISM: An Algorithm for Inducing Modular Rules
    • J. Cendrowska, "PRISM: An Algorithm for Inducing Modular Rules," Int'l. J. Man-Machine Studies, vol. 27, no. 4, 1987, pp. 349-370.
    • (1987) Int'l. J. Man-Machine Studies , vol.27 , Issue.4 , pp. 349-370
    • Cendrowska, J.1
  • 4
    • 84957655903 scopus 로고    scopus 로고
    • Learning from Inconsistent and Noisy Data: The AQ18 Approach
    • Proc. Int'l Symp. Methodologies for Intelligent Systems ISMIS 99, Springer
    • K. Kaufman and R.S. Michalski, "Learning from Inconsistent and Noisy Data: The AQ18 Approach," Proc. Int'l Symp. Methodologies for Intelligent Systems (ISMIS 99), LNCS 1609, Springer, 1999, pp. 411-419.
    • (1999) LNCS , vol.1609 , pp. 411-419
    • Kaufman, K.1    Michalski, R.S.2
  • 5
    • 0003915394 scopus 로고
    • The AQ15 Inductive Learning System: An Overview and Experiments
    • UIUCDCS-R-86-1260, Dept. of Computer Science, Univ. of Illinois
    • R.S. Michalski et al., The AQ15 Inductive Learning System: An Overview and Experiments, tech. report UIUCDCS-R-86-1260, Dept. of Computer Science, Univ. of Illinois, 1986.
    • (1986) tech. report
    • Michalski, R.S.1
  • 10
    • 0035481830 scopus 로고    scopus 로고
    • Fuzzy Rule Extraction from ID3-Type Decision Trees for Real Data
    • N.R. Pal and S. Chakraborty, "Fuzzy Rule Extraction from ID3-Type Decision Trees for Real Data," IEEE Trans. Systems, Man, and Cybernetics, vol. 31, 2001, pp. 745-754.
    • (2001) IEEE Trans. Systems, Man, and Cybernetics , vol.31 , pp. 745-754
    • Pal, N.R.1    Chakraborty, S.2
  • 11
    • 0003056427 scopus 로고    scopus 로고
    • A Fuzzy Inductive Learning Strategy for Modular Rules
    • C.H. Wang et al., "A Fuzzy Inductive Learning Strategy for Modular Rules," Fuzzy Sets and Systems, vol. 103, 1999, pp. 91-105.
    • (1999) Fuzzy Sets and Systems , vol.103 , pp. 91-105
    • Wang, C.H.1
  • 12
  • 13
    • 0038340808 scopus 로고    scopus 로고
    • A Heuristic for Learning Decision Trees and Pruning them into Classification Rules
    • J. Ranilla, O. Luaces, and A. Bahamonde, "A Heuristic for Learning Decision Trees and Pruning them into Classification Rules," Artificial Intelligence Comm., vol. 16, no. 2, 2003, pp. 71-87.
    • (2003) Artificial Intelligence Comm , vol.16 , Issue.2 , pp. 71-87
    • Ranilla, J.1    Luaces, O.2    Bahamonde, A.3
  • 15
    • 0242273412 scopus 로고    scopus 로고
    • Inflating Examples to Obtain Rules
    • O. Luaces and A. Bahamonde, "Inflating Examples to Obtain Rules," Int'l. J. Intelligent System, vol. 18, no. 11, 2003, pp. 1113-1143.
    • (2003) Int'l. J. Intelligent System , vol.18 , Issue.11 , pp. 1113-1143
    • Luaces, O.1    Bahamonde, A.2
  • 18
    • 0000868331 scopus 로고
    • Induction of Fuzzy Decision Trees
    • Y. Yuan and M.J. Shaw, "Induction of Fuzzy Decision Trees," Fuzzy Sets and Systems, vol. 69, 1995, pp. 125-139.
    • (1995) Fuzzy Sets and Systems , vol.69 , pp. 125-139
    • Yuan, Y.1    Shaw, M.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.