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Volumn 15, Issue 1, 2004, Pages 23-38

Rough set approach for generation of classification rules of breast cancer data

Author keywords

Breast cancer analysis; Computational intelligence; Data mining; Decision trees; Intelligent data analysis; Knowledge discovery; Rough sets; Rule classification; Rule generation and reduction

Indexed keywords


EID: 2442624867     PISSN: 08684952     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (39)

References (29)
  • 1
    • 0042656300 scopus 로고
    • Dynamic reducts as a tool for extracting laws from decision tables
    • Proc. of the Symp. on Methodologies for Intelligent Systems, Charlotte, NC, October 16-19. Springer-Verlag, Berlin
    • Bazan, J., A. Skowron and P. Synak (1994). Dynamic reducts as a tool for extracting laws from decision tables. In Proc. of the Symp. on Methodologies for Intelligent Systems, Charlotte, NC, October 16-19. Lecture Notes in Artificial Intelligence, vol. 869. Springer-Verlag, Berlin, pp. 346-355.
    • (1994) Lecture Notes in Artificial Intelligence , vol.869 , pp. 346-355
    • Bazan, J.1    Skowron, A.2    Synak, P.3
  • 2
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (AutoClass): Theory and results
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy (Eds.). AAAI Press/MIT Press
    • Cheeseman, P., and J. Stutz (1996). Bayesian classification (AutoClass): theory and results. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth and R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining. AAAI Press/MIT Press.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Cheeseman, P.1    Stutz, J.2
  • 6
    • 2442450330 scopus 로고    scopus 로고
    • Classification and feature selection of breast cancer data based on decision tree algorithm
    • Hassanien, A.E. (2003). Classification and feature selection of breast cancer data based on decision tree algorithm. International Journal of Studies in Informatics and Control Journal, 12(1), 33-39.
    • (2003) International Journal of Studies in Informatics and Control Journal , vol.12 , Issue.1 , pp. 33-39
    • Hassanien, A.E.1
  • 8
    • 1542296418 scopus 로고
    • Rough concept analysis, rough sets, fuzzy sets knowledge discovery
    • W.P. Ziarko (Ed.). Banff, Alta., Canada. Springer-Verlag
    • Kent, R.E. (1994). Rough concept analysis, rough sets, fuzzy sets knowledge discovery. In W.P. Ziarko (Ed.), Proceedings of the International Workshop on Rough, Sets, Knowledge, Discovery. Banff, Alta., Canada. Springer-Verlag, pp. 248-255.
    • (1994) Proceedings of the International Workshop on Rough, Sets, Knowledge, Discovery , pp. 248-255
    • Kent, R.E.1
  • 9
    • 2442574763 scopus 로고
    • Finding reducts in composed information systems, rough sets, fuzzy sets knowledge discovery
    • W.P. Ziarko (Ed.). Banff, Alta., Canada. Springer-Verlag
    • Kryszkiewicz, M., and H. Rybinski (1994). Finding reducts in composed information systems, rough sets, fuzzy sets knowledge discovery. In W.P. Ziarko (Ed.), Proceedings of the International Workshop on Rough Sets, Knowledge, Discovery. Banff, Alta., Canada. Springer-Verlag, pp. 261-273.
    • (1994) Proceedings of the International Workshop on Rough Sets, Knowledge, Discovery , pp. 261-273
    • Kryszkiewicz, M.1    Rybinski, H.2
  • 20
    • 0037784392 scopus 로고    scopus 로고
    • Studies in Fuzziness and Soft Computing series, Physica-Verlag
    • Polkowski, L., and A. Skowron (1998a). Rough Sets in Knowledge Discovery, Vol. 1/2. Studies in Fuzziness and Soft Computing series, Physica-Verlag.
    • (1998) Rough Sets in Knowledge Discovery , vol.1-2
    • Polkowski, L.1    Skowron, A.2
  • 22
    • 0036532473 scopus 로고    scopus 로고
    • The training of neural classifiers with condensed datasets
    • Se-Ho, Ch., and P. Rockett (2002). The training of neural classifiers with condensed datasets. SMCB, 32(2), 202-206.
    • (2002) SMCB , vol.32 , Issue.2 , pp. 202-206
    • Se-Ho, Ch.1    Rockett, P.2
  • 23
    • 0034159928 scopus 로고    scopus 로고
    • Generating concise and accurate classification rules for breast cancer diagnosis
    • Setiono, R. (2000). Generating concise and accurate classification rules for breast cancer diagnosis. Artificial Intelligence in Medicine, 18(3), 205-219.
    • (2000) Artificial Intelligence in Medicine , vol.18 , Issue.3 , pp. 205-219
    • Setiono, R.1
  • 24
    • 85132290785 scopus 로고    scopus 로고
    • A mathematical foundation for improved reduct generation in information systems
    • Starzyk, J.A., N. Dale and K. Sturtz (2000). A mathematical foundation for improved reduct generation in information systems. Knoweldge and Information Systems Journal, 131-147.
    • (2000) Knoweldge and Information Systems Journal , pp. 131-147
    • Starzyk, J.A.1    Dale, N.2    Sturtz, K.3
  • 25
    • 0002384425 scopus 로고
    • Rough set approach to decision analysis
    • March
    • Slowinski, R. (1995). Rough set approach to decision analysis. AI Expert, March, 19-25.
    • (1995) AI Expert , pp. 19-25
    • Slowinski, R.1
  • 29
    • 0012087476 scopus 로고    scopus 로고
    • Discovery through rough set theory. Knowledge Discovery: Viewing wisdom from all perspectives
    • Ziarko, W. (1999). Discovery through rough set theory. Knowledge Discovery: viewing wisdom from all perspectives. Communications of the ACM, 42(11).
    • (1999) Communications of the ACM , vol.42 , Issue.11
    • Ziarko, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.