메뉴 건너뛰기




Volumn 2, Issue , 2004, Pages 802-807

Incremental learning with hierarchies of rough decision tables

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA ACQUISITION; DECISION TABLES; FUNCTIONS; MATHEMATICAL MODELS; ROUGH SET THEORY;

EID: 4544308936     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/nafips.2004.1337405     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 3
    • 0002608174 scopus 로고
    • A decision theoretic framework for approximating concepts
    • Yao, Y.Y. Wong, S.K.M. A decision theoretic framework for approximating concepts. Intl. Journal of Man-Machine Studies, vol. 37, (1992) 793-809.
    • (1992) Intl. Journal of Man-machine Studies , vol.37 , pp. 793-809
    • Yao, Y.Y.1    Wong, S.K.M.2
  • 4
  • 5
    • 0035414934 scopus 로고    scopus 로고
    • Probabilistic decision tables in the variable precision rough set model
    • Ziarko, W. Probabilistic decision tables in the variable precision rough set model. Computational Intelligence, vol. 17, no 3, (2001) 593-603.
    • (2001) Computational Intelligence , vol.17 , Issue.3 , pp. 593-603
    • Ziarko, W.1
  • 6
    • 0036454107 scopus 로고    scopus 로고
    • Acquisition of hierarchy-structured probabilistic decision tables and rules from data
    • Honolulu, USA
    • Ziarko, W. Acquisition of hierarchy-structured probabilistic decision tables and rules from data. Proc. of IEEE Intl. Conference on Fuzzy Systems, Honolulu, USA, (2002) 779-784.
    • (2002) Proc. of IEEE Intl. Conference on Fuzzy Systems , pp. 779-784
    • Ziarko, W.1
  • 7
    • 0031166556 scopus 로고    scopus 로고
    • Machine learning through data classification and reduction
    • Ziarko, W. Ning, S. Machine learning through data classification and reduction. Fundamenta Informaticae, vol. 30, (1997) 371-380.
    • (1997) Fundamenta Informaticae , vol.30 , pp. 371-380
    • Ziarko, W.1    Ning, S.2
  • 8
  • 9
    • 4544303381 scopus 로고    scopus 로고
    • M.Sc. thesis, Computer Science Department, University of Regina, (in progress)
    • Peng, Y. Trainable control algorithms. M.Sc. thesis, Computer Science Department, University of Regina, (in progress).
    • Trainable Control Algorithms
    • Peng, Y.1
  • 10
    • 84974526240 scopus 로고    scopus 로고
    • Application of variable precision rough set approach to car driver assessment
    • IEEE Press, (in print)
    • Aryeetey, K. Ziarko, W. Application of variable precision rough set approach to car driver assessment, In New Generation of Data Mining Applications, IEEE Press, (in print).
    • New Generation of Data Mining Applications
    • Aryeetey, K.1    Ziarko, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.