메뉴 건너뛰기




Volumn 73, Issue , 2015, Pages 18-31

Hierarchical attribute reduction algorithms for big data using MapReduce

Author keywords

Big data; Data and task parallelism; Granular computing; Hierarchical attribute reduction; MapReduce

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; DATA REDUCTION; DECISION TABLES; EQUIVALENCE CLASSES; GRANULAR COMPUTING; ROUGH SET THEORY;

EID: 84915822707     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2014.09.001     Document Type: Article
Times cited : (111)

References (48)
  • 2
    • 42549111230 scopus 로고    scopus 로고
    • Toward a theory of granular computing for human centered information processing
    • A. Bargiela, and W. Pedrycz Toward a theory of granular computing for human centered information processing IEEE Trans. Fuzzy Syst. 16 2 2008 320 330
    • (2008) IEEE Trans. Fuzzy Syst. , vol.16 , Issue.2 , pp. 320-330
    • Bargiela, A.1    Pedrycz, W.2
  • 4
    • 84871919380 scopus 로고    scopus 로고
    • Attribute selection based on a new conditional entropy for incomplete decision systems
    • J.H. Dai, W.T. Wang, H.W. Tian, and L. Liu Attribute selection based on a new conditional entropy for incomplete decision systems Knowl.-Based Syst. 39 2013 207 213
    • (2013) Knowl.-Based Syst. , vol.39 , pp. 207-213
    • Dai, J.H.1    Wang, W.T.2    Tian, H.W.3    Liu, L.4
  • 5
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J. Dean, and S. Ghemawat MapReduce: simplified data processing on large clusters Commun. ACM 51 1 2008 107 114
    • (2008) Commun. ACM , vol.51 , Issue.1 , pp. 107-114
    • Dean, J.1    Ghemawat, S.2
  • 6
    • 78349231624 scopus 로고    scopus 로고
    • Parallel reducts based on attribute significance
    • J. Yu, S. Greco, P. Lingras, Lecture Notes in Computer Science Springer Berlin/Heidelberg
    • D.Y. Deng, D.X. Yan, and J.Y. Wang Parallel reducts based on attribute significance J. Yu, S. Greco, P. Lingras, Rough Set and Knowledge Technology Lecture Notes in Computer Science vol. 6401 2010 Springer Berlin/Heidelberg 336 343
    • (2010) Rough Set and Knowledge Technology , vol.6401 VOL. , pp. 336-343
    • Deng, D.Y.1    Yan, D.X.2    Wang, J.Y.3
  • 7
    • 0002662530 scopus 로고    scopus 로고
    • Simple data filtering in rough set systems
    • I. Duntsch, and G. Gediga Simple data filtering in rough set systems Int. J. Approximate Reasoning 18 1 1998 93 106
    • (1998) Int. J. Approximate Reasoning , vol.18 , Issue.1 , pp. 93-106
    • Duntsch, I.1    Gediga, G.2
  • 8
    • 70449534752 scopus 로고    scopus 로고
    • Hierarchical decision rules mining
    • Q.R. Feng, D.Q. Miao, and Y. Cheng Hierarchical decision rules mining Expert Syst. Appl. 37 3 2010 2081 2091
    • (2010) Expert Syst. Appl. , vol.37 , Issue.3 , pp. 2081-2091
    • Feng, Q.R.1    Miao, D.Q.2    Cheng, Y.3
  • 9
    • 78649934709 scopus 로고    scopus 로고
    • University of California, School of Information and Computer Science, Irvine, CA
    • A. Frank, A. Asuncion, UCI Machine Learning Repository, University of California, School of Information and Computer Science, Irvine, CA, 2010. < http://archive.ics.uci.edu/ml >.
    • (2010) UCI Machine Learning Repository
    • Frank, A.1    Asuncion, A.2
  • 11
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • I. Guyan, and A. Elisseeff An introduction to variable and feature selection J. Mach. Learn. Res. 3 2003 1157 1182
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1157-1182
    • Guyan, I.1    Elisseeff, A.2
  • 12
    • 0027542839 scopus 로고
    • Data-driven discovery of quantitative rules in relational databases
    • J. Han, Y. Cai, and N. Cercone Data-driven discovery of quantitative rules in relational databases IEEE Trans. Knowl. Data Eng. 5 1 1993 29 40
    • (1993) IEEE Trans. Knowl. Data Eng. , vol.5 , Issue.1 , pp. 29-40
    • Han, J.1    Cai, Y.2    Cercone, N.3
  • 13
    • 0033311838 scopus 로고    scopus 로고
    • Mining multiple-level association rules in large database
    • J. Han, and Y. Fu Mining multiple-level association rules in large database IEEE Trans. Knowl. Data Eng. 11 5 1999 798 805
    • (1999) IEEE Trans. Knowl. Data Eng. , vol.11 , Issue.5 , pp. 798-805
    • Han, J.1    Fu, Y.2
  • 14
    • 79952503742 scopus 로고    scopus 로고
    • A generic parallel processing model for facilitating data mining and integration
    • L.X. Han, C.S. Liew, J.V. Hemert, and M. Atkinson A generic parallel processing model for facilitating data mining and integration Parallel Comput. 37 2011 157 171
    • (2011) Parallel Comput. , vol.37 , pp. 157-171
    • Han, L.X.1    Liew, C.S.2    Hemert, J.V.3    Atkinson, M.4
  • 15
    • 37349011312 scopus 로고    scopus 로고
    • Learning cross-level certain and possible rules by rough sets
    • T.P. Hong, C.E. Lin, J.H. Lin, and S.L. Wang Learning cross-level certain and possible rules by rough sets Expert Syst. Appl. 34 3 2008 1698 1706
    • (2008) Expert Syst. Appl. , vol.34 , Issue.3 , pp. 1698-1706
    • Hong, T.P.1    Lin, C.E.2    Lin, J.H.3    Wang, S.L.4
  • 16
    • 0035509609 scopus 로고    scopus 로고
    • Discovering maximal generalized decision rules through horizontal and vertical data reduction
    • X.H. Hu, and N. Cercone Discovering maximal generalized decision rules through horizontal and vertical data reduction Comput. Intell. 17 4 2001 685 702
    • (2001) Comput. Intell. , vol.17 , Issue.4 , pp. 685-702
    • Hu, X.H.1    Cercone, N.2
  • 17
    • 77955091406 scopus 로고    scopus 로고
    • Selecting discrete and continuous features based on neighborhood decision error minimization
    • Q.H. Hu, W. Pedrycz, D.R. Yu, and J. Lang Selecting discrete and continuous features based on neighborhood decision error minimization IEEE Trans. Syst. Man Cybern.-Part B: Cybern. 40 1 2010 137 150
    • (2010) IEEE Trans. Syst. Man Cybern.-Part B: Cybern. , vol.40 , Issue.1 , pp. 137-150
    • Hu, Q.H.1    Pedrycz, W.2    Yu, D.R.3    Lang, J.4
  • 18
    • 84861819666 scopus 로고    scopus 로고
    • An efficient rough feature selection algorithm with a multi-granulation view
    • J.Y. Liang, F. Wang, C.Y. Dang, and Y.H. Qian An efficient rough feature selection algorithm with a multi-granulation view Int. J. Approximate Reasoning 53 6 2012 912 926
    • (2012) Int. J. Approximate Reasoning , vol.53 , Issue.6 , pp. 912-926
    • Liang, J.Y.1    Wang, F.2    Dang, C.Y.3    Qian, Y.H.4
  • 19
    • 79651473729 scopus 로고    scopus 로고
    • A heuristic knowledge-reduction method for decision formal contexts
    • J.H. Li, C.L. Mei, and Y.J. Lv A heuristic knowledge-reduction method for decision formal contexts Comput. Math. Appl. 61 2011 1096 1106
    • (2011) Comput. Math. Appl. , vol.61 , pp. 1096-1106
    • Li, J.H.1    Mei, C.L.2    Lv, Y.J.3
  • 20
    • 0038323597 scopus 로고    scopus 로고
    • Concept hierarchy in data mining: Specification generation and implementation
    • Simon Fraser University Cnanda
    • Y.J. Lu Concept hierarchy in data mining: specification generation and implementation Master Degree Dissertation 1997 Simon Fraser University Cnanda
    • (1997) Master Degree Dissertation
    • Lu, Y.J.1
  • 22
    • 70349757166 scopus 로고    scopus 로고
    • Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model
    • D.Q. Miao, Y. Zhao, Y.Y. Yao, F.F. Xu, and H.X. Li Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model Inf. Sci. 179 24 2009 4140 4150
    • (2009) Inf. Sci. , vol.179 , Issue.24 , pp. 4140-4150
    • Miao, D.Q.1    Zhao, Y.2    Yao, Y.Y.3    Xu, F.F.4    Li, H.X.5
  • 25
    • 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 Artif. Intell. 174 9 2010 597 618
    • (2010) Artif. Intell. , vol.174 , Issue.9 , pp. 597-618
    • Qian, Y.H.1    Liang, J.Y.2    Pedrycz, W.3    Dang, C.Y.4
  • 26
    • 78651367557 scopus 로고    scopus 로고
    • Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation
    • J. Qian, D.Q. Miao, Z.H. Zhang, and W. Li Hybrid approaches to attribute reduction based on indiscernibility and discernibility relation Int. J. Approximate Reasoning 52 2 2011 212 230
    • (2011) Int. J. Approximate Reasoning , vol.52 , Issue.2 , pp. 212-230
    • Qian, J.1    Miao, D.Q.2    Zhang, Z.H.3    Li, W.4
  • 27
    • 84855468356 scopus 로고    scopus 로고
    • Knowledge reduction algorithms in cloud computing
    • (in Chinese)
    • J. Qian, D.Q. Miao, and Z.H. Zhang Knowledge reduction algorithms in cloud computing Chin. J. Comput. 34 12 2011 2332 2343 (in Chinese)
    • (2011) Chin. J. Comput. , vol.34 , Issue.12 , pp. 2332-2343
    • Qian, J.1    Miao, D.Q.2    Zhang, Z.H.3
  • 28
    • 0002395767 scopus 로고
    • The discernibility matrices and functions in information systems
    • R. Slowiński, Handbook of Applications and Advances of the Rough Sets Theory Kluwer 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 Dordrecht
    • (1992) Intelligent Decision Support
    • Skowron, A.1    Rauszer, C.2
  • 29
    • 84855678613 scopus 로고    scopus 로고
    • Data and task parallelism in ILP using MapReduce
    • A. Srinivasan, T.A. Faruquie, and Sachindra Joshi Data and task parallelism in ILP using MapReduce Mach. Learn. 86 1 2012 141 168
    • (2012) Mach. Learn. , vol.86 , Issue.1 , pp. 141-168
    • Srinivasan, A.1    Faruquie, T.A.2    Joshi, S.3
  • 30
    • 9444299082 scopus 로고    scopus 로고
    • Tree-like parallelization of reduct and construct computation
    • S. Tsumoto, LNAI Springer Berlin Heidelberg
    • R. Susmaga Tree-like parallelization of reduct and construct computation S. Tsumoto, RSCTC 2004 LNAI vol. 3066 2004 Springer Berlin Heidelberg 455 464
    • (2004) RSCTC 2004 , vol.3066 VOL. , pp. 455-464
    • Susmaga, R.1
  • 31
    • 0036662454 scopus 로고    scopus 로고
    • Decision table reduction based on conditional information entropy
    • (in Chinese)
    • G.Y. Wang, H. Yu, and D.C. Yang Decision table reduction based on conditional information entropy Chin. J. Comput. 25 7 2002 760 766 (in Chinese)
    • (2002) Chin. J. Comput. , vol.25 , Issue.7 , pp. 760-766
    • Wang, G.Y.1    Yu, H.2    Yang, D.C.3
  • 32
    • 44049085177 scopus 로고    scopus 로고
    • Attribute reduction based on parallel symbiotic evolution
    • (in Chinese)
    • L.H. Wang, and G.F. Wu Attribute reduction based on parallel symbiotic evolution Chin. J. Comput. 26 5 2003 630 635 (in Chinese)
    • (2003) Chin. J. Comput. , vol.26 , Issue.5 , pp. 630-635
    • Wang, L.H.1    Wu, G.F.2
  • 33
    • 84871150792 scopus 로고    scopus 로고
    • An attribute reduction algorithm based on instance selection
    • (in Chinese)
    • X.Z. Wang, T.T. Wang, and J.H. Zhai An attribute reduction algorithm based on instance selection J. Comput. Res. Dev. 49 11 2012 2305 2310 (in Chinese)
    • (2012) J. Comput. Res. Dev. , vol.49 , Issue.11 , pp. 2305-2310
    • Wang, X.Z.1    Wang, T.T.2    Zhai, J.H.3
  • 34
    • 80054058362 scopus 로고    scopus 로고
    • Theory and applications of granular labelled partitions in multi-scale decision tables
    • W.Z. Wu, and Y. Leung Theory and applications of granular labelled partitions in multi-scale decision tables Inf. Sci. 181 18 2011 3878 3897
    • (2011) Inf. Sci. , vol.181 , Issue.18 , pp. 3878-3897
    • Wu, W.Z.1    Leung, Y.2
  • 35
    • 22844454592 scopus 로고    scopus 로고
    • A fast parallel clustering algorithm for large spatial databases
    • X. Xu, J. Jager, and H.P. Kriegel A fast parallel clustering algorithm for large spatial databases Data Min. Knowl. Disc. 3 1999 263 290
    • (1999) Data Min. Knowl. Disc. , vol.3 , pp. 263-290
    • Xu, X.1    Jager, J.2    Kriegel, H.P.3
  • 37
    • 78349255353 scopus 로고    scopus 로고
    • Attribute reduction for massive data based on rough set theory and MapReduce
    • J. Yu, S. Greco, P. Lingras, Lecture Notes in Computer Science Springer Berlin/Heidelberg
    • Y. Yang, Z. Chen, Z. Liang, and G. Wang Attribute reduction for massive data based on rough set theory and MapReduce J. Yu, S. Greco, P. Lingras, Rough Set and Knowldge Technology Lecture Notes in Computer Science vol. 6401 2010 Springer Berlin/Heidelberg 672 678
    • (2010) Rough Set and Knowldge Technology , vol.6401 VOL. , pp. 672-678
    • Yang, Y.1    Chen, Z.2    Liang, Z.3    Wang, G.4
  • 38
    • 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 Knowl.-Based Syst. 24 6 2011 858 867
    • (2011) Knowl.-Based Syst. , vol.24 , Issue.6 , pp. 858-867
    • Yang, X.B.1    Zhang, M.2    Dou, H.L.3    Yang, J.Y.4
  • 40
    • 58249098798 scopus 로고    scopus 로고
    • Discernibility matrix simplification for constructing attribute reducts
    • Y.Y. Yao, and Y. Zhao Discernibility matrix simplification for constructing attribute reducts Inf. Sci. 7 2009 867 882
    • (2009) Inf. Sci. , vol.7 , pp. 867-882
    • Yao, Y.Y.1    Zhao, Y.2
  • 41
    • 84892442835 scopus 로고    scopus 로고
    • Knowledge reduction for decision tables with attribute value taxonomies
    • M.Q. Ye, X.D. Wu, X.G. Hu, and D.H. Hu Knowledge reduction for decision tables with attribute value taxonomies Knowl.-Based Syst. 56 2014 68 78
    • (2014) Knowl.-Based Syst. , vol.56 , pp. 68-78
    • Ye, M.Q.1    Wu, X.D.2    Hu, X.G.3    Hu, D.H.4
  • 43
    • 0002263693 scopus 로고
    • Fuzzy sets and information granularity
    • M. Gupta, R. Ragade, R. Yager, North-Holland Publishing Amsterdam
    • L.A. Zadeh Fuzzy sets and information granularity M. Gupta, R. Ragade, R. Yager, Advances in Fuzzy Set Theory and Applications 1979 North-Holland Publishing Amsterdam 3 18
    • (1979) Advances in Fuzzy Set Theory and Applications , pp. 3-18
    • Zadeh, L.A.1
  • 44
    • 84862807152 scopus 로고    scopus 로고
    • A parallel method for computing rough set approximations
    • J.B. Zhang, T.R. Li, and D. Ruan A parallel method for computing rough set approximations Inf. Sci. 194 2012 209 223
    • (2012) Inf. Sci. , vol.194 , pp. 209-223
    • Zhang, J.B.1    Li, T.R.2    Ruan, D.3
  • 45
    • 71749094178 scopus 로고    scopus 로고
    • Parallel K-Means clustering based on MapReduce
    • M.G. Jaatun, G. Zhao, C. Rong, Springer Berlin Heidelberg
    • W.Z. Zhao, H.F. Ma, and Q. He Parallel K-Means clustering based on MapReduce M.G. Jaatun, G. Zhao, C. Rong, Cloud Computing (CloudCom2009) 2009 Springer Berlin Heidelberg 674 679
    • (2009) Cloud Computing (CloudCom2009) , pp. 674-679
    • Zhao, W.Z.1    Ma, H.F.2    He, Q.3
  • 46
    • 84881318490 scopus 로고    scopus 로고
    • Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization
    • X. Zhang, C.L. Mei, D.G. Chen, and J.H. Li Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization Knowl.-Based Syst. 50 2013 187 197
    • (2013) Knowl.-Based Syst. , vol.50 , pp. 187-197
    • Zhang, X.1    Mei, C.L.2    Chen, D.G.3    Li, J.H.4
  • 47
    • 0242384171 scopus 로고    scopus 로고
    • Acquisition of hierarchy-structured probabilistic decision tables and rules from data
    • W. Ziarko Acquisition of hierarchy-structured probabilistic decision tables and rules from data Expert Syst. 20 5 2003 305 310
    • (2003) Expert Syst. , vol.20 , Issue.5 , pp. 305-310
    • Ziarko, W.1
  • 48
    • 77955309365 scopus 로고    scopus 로고
    • Parallelizing XML data-streaming workflows via MapReduce
    • D. Zinn, S. Bowers, S. Köhler, and B. Ludäscher Parallelizing XML data-streaming workflows via MapReduce J. Comput. Syst. Sci. 76 6 2010 447 463
    • (2010) J. Comput. Syst. Sci. , vol.76 , Issue.6 , pp. 447-463
    • Zinn, D.1    Bowers, S.2    Köhler, S.3    Ludäscher, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.