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Volumn 1, Issue 4, 2006, Pages 288-294

A comparative analysis of feature selection algorithms based on rough set theory

Author keywords

Data mining; Feature selection; Rough set; Rule induction

Indexed keywords


EID: 53749090379     PISSN: 18169503     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (27)
  • 4
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    • ANew Rough Sets Model Based on Database Systems
    • Hu, X., T. Y. Lin and J. Jianchao, 2004. ANew Rough Sets Model Based on Database Systems. Fundamenta Informaticae, pp: 1-18.
    • (2004) Fundamenta Informaticae , pp. 1-18
    • Hu, X.1    Lin, T.Y.2    Jianchao, J.3
  • 7
    • 0027002164 scopus 로고
    • The Feature selection Problem: Traditional Methods,, and a New Algorithm
    • Kira, K., and L. A. Rendell, 1992. The Feature selection Problem: Traditional Methods,, and a New Algorithm. Proceedings of AAAI, MIT Press, pp: 129-134.
    • (1992) Proceedings of AAAI MIT Press, , pp. 129-134
    • Kira, K.1    Rendell, L.A.2
  • 17
    • 0037332841 scopus 로고    scopus 로고
    • Rough Set Methods in Feature Selection, and Recognition
    • Swiniarski, R.W., and A. Skowron, 2003. Rough Set Methods in Feature Selection, and Recognition. Pattern Recognition Letters, 24: 833-849.
    • (2003) Pattern Recognition Letters, , vol.24 , pp. 833-849
    • Swiniarski, R.W.1    Skowron, A.2
  • 19
    • 0348170835 scopus 로고    scopus 로고
    • Fuzzy-rough attribute reduction with application to web categorization
    • Jensen, R., and Q. Shen, 2004. Fuzzy-rough attribute reduction with application to web categorization. Fuzzy Sets, and Systems, 141: 469-485.
    • (2004) Fuzzy Sets, and Systems, , vol.141 , pp. 469-485
    • Jensen, R.1    Shen, Q.2
  • 20
    • 10944249572 scopus 로고    scopus 로고
    • Semantics-Preserving Dimensionality Reduction: Rough, and Fuzzy-Rough-Based Approaches
    • Jensen, R., and Q. Shen, 2004. Semantics-Preserving Dimensionality Reduction: Rough, and Fuzzy-Rough-Based Approaches. IEEE Transactions on Knowledge, and Data Engin., pp: 16.
    • (2004) IEEE Transactions on Knowledge, and Data Engin. , pp. 16
    • Jensen, R.1    Shen, Q.2
  • 23
    • 0027543613 scopus 로고
    • Variable Precision Rough Set Model
    • Ziarko, W., 1993. Variable Precision Rough Set Model. J. Computer, and System Sci., 46: 39-59.
    • (1993) J. Computer, and System Sci., , vol.46 , pp. 39-59
    • Ziarko, W.1
  • 25
    • 0035502119 scopus 로고    scopus 로고
    • Reducts within the Variable Precision Rough Sets Model: A Further Investigation
    • Beynon, M.J., 2001. Reducts within the Variable Precision Rough Sets Model: A Further Investigation. European J. Operational Res., 134: 592-605.
    • (2001) European J. Operational Res., , vol.134 , pp. 592-605
    • Beynon, M.J.1
  • 27
    • 39049156231 scopus 로고    scopus 로고
    • Rule Discovery Based On Rough Set Theory
    • Yang, Y., and T.C. Chiam, 2000. Rule Discovery Based On Rough Set Theory. Proceedings of ISIF, TuC4, pp: 11-16.
    • (2000) Proceedings of ISIF, TuC4 , pp. 11-16
    • Yang, Y.1    Chiam, T.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.