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Volumn 39, Issue , 2013, Pages 95-108

Attribute reduction: A dimension incremental strategy

Author keywords

Attribute reduction; Dynamic data sets; Expansion of attributes; Information entropy; Rough sets

Indexed keywords

ATTRIBUTE REDUCTION; ATTRIBUTE REDUCTION ALGORITHM; DATA SETS; DYNAMIC DATA; GENE SEQUENCING; INCREMENTAL STRATEGY; INFORMATION ENTROPY; MATHEMATICAL TOOLS; MEASURE OF UNCERTAINTY; PROCESSING TOOLS; REAL DATA SETS; REDUCTION ALGORITHMS; RISK PREDICTIONS; ROUGH SET;

EID: 84871922408     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2012.10.010     Document Type: Article
Times cited : (115)

References (44)
  • 1
    • 0032093405 scopus 로고    scopus 로고
    • A rough set approach to attribute generalization in data mining
    • C.C. Chan A rough set approach to attribute generalization in data mining Information Science 107 1998 169 176
    • (1998) Information Science , vol.107 , pp. 169-176
    • Chan, C.C.1
  • 2
    • 78649779129 scopus 로고    scopus 로고
    • The incremental method for fast computing the rough fuzzy approximations
    • Y. Cheng The incremental method for fast computing the rough fuzzy approximations Data Knowledge Engineering 70 2011 84 100
    • (2011) Data Knowledge Engineering , vol.70 , pp. 84-100
    • Cheng, Y.1
  • 3
    • 0242302657 scopus 로고    scopus 로고
    • Consistency-based search in feature selection
    • M. Dash, and H. Liu Consistency-based search in feature selection Artificial Intelligence 151 2003 155 176
    • (2003) Artificial Intelligence , vol.151 , pp. 155-176
    • Dash, M.1    Liu, H.2
  • 4
    • 0032205549 scopus 로고    scopus 로고
    • Uncertainty measures of rough set prediction
    • I. Düntsch, and G. Gediga Uncertainty measures of rough set prediction Artificial Intelligence 106 1 1998 109 137
    • (1998) Artificial Intelligence , vol.106 , Issue.1 , pp. 109-137
    • Düntsch, I.1    Gediga, G.2
  • 6
    • 0035501187 scopus 로고    scopus 로고
    • Rough approximation quality revisited
    • G. Gediga, and I. Düntsch Rough approximation quality revisited Artificial Intelligence 132 2001 219 234
    • (2001) Artificial Intelligence , vol.132 , pp. 219-234
    • Gediga, G.1    Düntsch, I.2
  • 7
    • 0032180332 scopus 로고    scopus 로고
    • Rough computational methods for information systems
    • J.W. Guan, and D.A. Bell Rough computational methods for information systems Artificial Intelligence 105 1998 77 103
    • (1998) Artificial Intelligence , vol.105 , pp. 77-103
    • Guan, J.W.1    Bell, D.A.2
  • 8
    • 77549086430 scopus 로고    scopus 로고
    • A rough set approach for selecting clustering attribute
    • T. Herawan, M.M. Deris, and J.H. Abawajy A rough set approach for selecting clustering attribute Knowledge-Based Systems 23 2010 220 231
    • (2010) Knowledge-Based Systems , vol.23 , pp. 220-231
    • Herawan, T.1    Deris, M.M.2    Abawajy, J.H.3
  • 9
    • 33645995460 scopus 로고    scopus 로고
    • Incremental attribute reduction based on elementary sets
    • Fuzzy Sets, Data Mining and Granular Computing, Regina, Canada
    • F. Hu, G.Y. Wang, H. Huang, Y. Wu, Incremental attribute reduction based on elementary sets, in: Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Regina, Canada, 2005, pp. 185-193.
    • (2005) Proceedings of the 10th International Conference on Rough Sets , pp. 185-193
    • Hu, F.1    Wang, G.Y.2    Huang, H.3    Wu, Y.4
  • 11
    • 34547699509 scopus 로고    scopus 로고
    • Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation
    • Q.H. Hu, Z.X. Xie, and D.R. Yu Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation Pattern Recognition 40 2007 3509 3521
    • (2007) Pattern Recognition , vol.40 , pp. 3509-3521
    • Hu, Q.H.1    Xie, Z.X.2    Yu, D.R.3
  • 12
    • 46749140199 scopus 로고    scopus 로고
    • Neighborhood rough set based heterogeneous feature subset selection
    • Q.H. Hu, D.R. Yu, J.F. Liu, and C.X. Wu Neighborhood rough set based heterogeneous feature subset selection Information Science 178 2008 3577 3594
    • (2008) Information Science , vol.178 , pp. 3577-3594
    • Hu, Q.H.1    Yu, D.R.2    Liu, J.F.3    Wu, C.X.4
  • 13
    • 33947421283 scopus 로고    scopus 로고
    • Fuzzy-rough sets assisted attribute selection
    • R. Jensen, and Q. Shen Fuzzy-rough sets assisted attribute selection IEEE Transactions on Fuzzy Systems 15 1 2007 73 89
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.1 , pp. 73-89
    • Jensen, R.1    Shen, Q.2
  • 14
    • 76649084419 scopus 로고    scopus 로고
    • FUN: Fast discovery of minimal sets of attributes functionally determining a decision attribute
    • M. Kryszkiewicz, and P. Lasek FUN: fast discovery of minimal sets of attributes functionally determining a decision attribute Transactions on Rough Sets 9 2008 76 95
    • (2008) Transactions on Rough Sets , vol.9 , pp. 76-95
    • Kryszkiewicz, M.1    Lasek, P.2
  • 15
    • 34248165925 scopus 로고    scopus 로고
    • A rough sets based characteristic relation approach for dynamic attribute generalization in data mining
    • T.R. Li, D. Ruan, W. Geert, J. Song, and Y. Xu A rough sets based characteristic relation approach for dynamic attribute generalization in data mining Knowledge-Based Systems 20 5 2007 485 494
    • (2007) Knowledge-Based Systems , vol.20 , Issue.5 , pp. 485-494
    • Li, T.R.1    Ruan, D.2    Geert, W.3    Song, J.4    Xu, Y.5
  • 20
    • 1642525195 scopus 로고    scopus 로고
    • Approaches to knowledge reduction based on variable precision rough set model
    • J.S. Mi, W.Z. Wu, and X.W. Zhang Approaches to knowledge reduction based on variable precision rough set model Information Sciences 159 3-4 2004 255 272
    • (2004) Information Sciences , vol.159 , Issue.34 , pp. 255-272
    • Mi, J.S.1    Wu, W.Z.2    Zhang, X.W.3
  • 21
    • 84958040404 scopus 로고    scopus 로고
    • Approximate reducts and association rules correspondence and complexity results
    • H.S. Nguyen, and D.W. Slezak Approximate reducts and association rules correspondence and complexity results Lecture Notes in Artificial Intelligence 1711 1999 137C145
    • (1999) Lecture Notes in Artificial Intelligence , vol.1711
    • Nguyen, H.S.1    Slezak, D.W.2
  • 22
    • 0347760893 scopus 로고
    • Maintenance of knowledge in dynamic information systems
    • R. Slowinski, Handbook of Applications and Advances of the Rough Set Theory Kluwer Academic Publishers Dordrecht
    • M. Orlowska Maintenance of knowledge in dynamic information systems R. Slowinski, Proceeding of The Intelligent Decision Support Handbook of Applications and Advances of the Rough Set Theory 1992 Kluwer Academic Publishers Dordrecht 315 330
    • (1992) Proceeding of the Intelligent Decision Support , pp. 315-330
    • Orlowska, M.1
  • 26
    • 0036532805 scopus 로고    scopus 로고
    • Feature analysis through information granulation and fuzzy sets
    • W. Pedrycz, and G. Vukovich Feature analysis through information granulation and fuzzy sets Pattern Recognition 35 2002 825 834
    • (2002) Pattern Recognition , vol.35 , pp. 825-834
    • Pedrycz, W.1    Vukovich, G.2
  • 28
    • 77951118185 scopus 로고    scopus 로고
    • Positive approximation: An accelerator for attribute reduction in rough set theory
    • Y.H. Qian, J.Y. Liang, W. Pedrycz, and C.Y. Dang Positive approximation: an accelerator for attribute reduction in rough set theory Artificial Intelligence 174 2010 597 618
    • (2010) Artificial Intelligence , vol.174 , pp. 597-618
    • Qian, Y.H.1    Liang, J.Y.2    Pedrycz, W.3    Dang, C.Y.4
  • 29
    • 0036948613 scopus 로고    scopus 로고
    • Approximate entropy reducts
    • D. Slezak Approximate entropy reducts Fundamenta Informaticae 53 3-4 2002 365 390
    • (2002) Fundamenta Informaticae , vol.53 , Issue.34 , pp. 365-390
    • Slezak, D.1
  • 30
    • 84856043672 scopus 로고
    • The mathematical theory of communication
    • C.E. Shannon The mathematical theory of communication The Bell System Technical Journal 27 3-4 1948 373 423
    • (1948) The Bell System Technical Journal , vol.27 , Issue.34 , pp. 373-423
    • Shannon, C.E.1
  • 31
    • 0002395767 scopus 로고
    • The discernibility matrices and functions in information systems
    • R. Slowiński, Handbook of Applications and Advances of the Rough Sets Theory Kluwer Academic Publisher Dordrecht
    • A. Skowron, and C. Rauszer The discernibility matrices and functions in information systems R. Slowiński, Intelligent Decision Support Handbook of Applications and Advances of the Rough Sets Theory 1992 Kluwer Academic Publisher Dordrecht
    • (1992) Intelligent Decision Support
    • Skowron, A.1    Rauszer, C.2
  • 32
    • 0036662454 scopus 로고    scopus 로고
    • Decision table reduction based on conditional information entropy
    • G.Y. Wang, H. Yu, and D.C. Yang Decision table reduction based on conditional information entropy Chinese Journal of Computer 25 7 2002 759 766
    • (2002) Chinese Journal of Computer , vol.25 , Issue.7 , pp. 759-766
    • Wang, G.Y.1    Yu, H.2    Yang, D.C.3
  • 33
    • 1642525198 scopus 로고    scopus 로고
    • Constructive and axiomatic approaches of fuzzy approximation operators
    • W.Z. Wu, and W.X. Zhang Constructive and axiomatic approaches of fuzzy approximation operators Information Sciences 159 2004 233 254
    • (2004) Information Sciences , vol.159 , pp. 233-254
    • Wu, W.Z.1    Zhang, W.X.2
  • 34
    • 0036530141 scopus 로고    scopus 로고
    • Inclusion degree: A perspective on measures for rough set data analysis
    • Z.B. Xu, J.Y. Liang, C.Y. Dang, and K.S. Chin Inclusion degree: a perspective on measures for rough set data analysis Information Sciences 141 2002 227 236
    • (2002) Information Sciences , vol.141 , pp. 227-236
    • Xu, Z.B.1    Liang, J.Y.2    Dang, C.Y.3    Chin, K.S.4
  • 36
    • 34250320559 scopus 로고    scopus 로고
    • An incremental updating algorithm for attributes reduction based on the improved discernibility matrix
    • M. Yang An incremental updating algorithm for attributes reduction based on the improved discernibility matrix Chinese Journal of Computers 30 5 2007 815 822
    • (2007) Chinese Journal of Computers , vol.30 , Issue.5 , pp. 815-822
    • Yang, M.1
  • 37
    • 79957471167 scopus 로고    scopus 로고
    • Neighborhood systems-based rough sets in incomplete information system
    • X.B. Yang, M. Zhang, H.L. Dou, and J.Y. Yang Neighborhood systems-based rough sets in incomplete information system Knowledge-Based Systems 24 6 2011 858 867
    • (2011) Knowledge-Based Systems , vol.24 , Issue.6 , pp. 858-867
    • Yang, X.B.1    Zhang, M.2    Dou, H.L.3    Yang, J.Y.4
  • 39
    • 45849092954 scopus 로고    scopus 로고
    • Attribute reduction in decisiontheoretic rough set models
    • Y.Y. Yao, and Y. Zhao Attribute reduction in decisiontheoretic rough set models Information Sciences 178 2008 3356 3373
    • (2008) Information Sciences , vol.178 , pp. 3356-3373
    • Yao, Y.Y.1    Zhao, Y.2
  • 41
    • 33645689182 scopus 로고    scopus 로고
    • Knowledge acquisition based on rough set theory and principal component analysis
    • A. Zeng, D. Pan, Q.L. Zheng, and H. Peng Knowledge acquisition based on rough set theory and principal component analysis IEEE Intelligent Systems 2006 78 85
    • (2006) IEEE Intelligent Systems , pp. 78-85
    • Zeng, A.1    Pan, D.2    Zheng, Q.L.3    Peng, H.4
  • 43
    • 79551515121 scopus 로고    scopus 로고
    • An approach for incremental updating approximations in variable precision rough sets while attribute generalizing
    • Hangzhou, China
    • J.B. Zhang, T.R. Li, D. Liu, An approach for incremental updating approximations in variable precision rough sets while attribute generalizing, in: Proc. 2010 IEEE Int. Conf. on Intelligent Systems and Knowledge Engineering, Hangzhou, China, 2010, pp. 77-81.
    • (2010) Proc. 2010 IEEE Int. Conf. on Intelligent Systems and Knowledge Engineering , pp. 77-81
    • Zhang, J.B.1    Li, T.R.2    Liu, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.