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Volumn 11, Issue 1, 2011, Pages 592-604

Cohesion: A concept and framework for confident association discovery with potential application in microarray mining

Author keywords

Accuracy; Association mining; Cohesion; Microarray mining; Predictability

Indexed keywords

ACCURACY; ASSOCIATION DISCOVERIES; ASSOCIATION MINING; COHESION; FREQUENCY CONSTRAINT; KNOWLEDGE CONTENT; MICROARRAY DATA; POTENTIAL APPLICATIONS; PREDICTABILITY; SCALABLE ALGORITHMS; THRESHOLD FREQUENCY;

EID: 77957928626     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.12.018     Document Type: Article
Times cited : (12)

References (48)
  • 3
    • 2442586054 scopus 로고    scopus 로고
    • IBM Almaden Research Center, San Jose, California
    • R. Agrawal, R. Srikant, Quest Synthetic Data Generator, IBM Almaden Research Center, San Jose, California, 1996, http://www.almaden.ibm.com/cs/ quest/syndata.html.
    • (1996) Quest Synthetic Data Generator
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 13444272070 scopus 로고    scopus 로고
    • The biomolecular interaction network database and related tools 2005 update
    • C. Alfarano The biomolecular interaction network database and related tools 2005 update Nucleic Acids Res. 33 2005 418 424
    • (2005) Nucleic Acids Res. , vol.33 , pp. 418-424
    • Alfarano, C.1
  • 7
    • 0038313118 scopus 로고    scopus 로고
    • Strong association-rule mining for large scale gene expression data analysis: A case study on human SAGE data
    • C. Becquet, S. Blachon, B. Jeudy, J.F. Boulicaut, and O. Gandrillon Strong association-rule mining for large scale gene expression data analysis: a case study on human SAGE data Genome Biol. 3 12 2002 1 16
    • (2002) Genome Biol. , vol.3 , Issue.12 , pp. 1-16
    • Becquet, C.1    Blachon, S.2    Jeudy, B.3    Boulicaut, J.F.4    Gandrillon, O.5
  • 10
    • 12244256070 scopus 로고    scopus 로고
    • Pattern identification and classification in gene expression data using an autoassociative neural network model
    • S. Bicciato, M. Pandin, G. Didon, and C. DiBello Pattern identification and classification in gene expression data using an autoassociative neural network model Biotechnol. Bioeng. 81 2003 594 606
    • (2003) Biotechnol. Bioeng. , vol.81 , pp. 594-606
    • Bicciato, S.1    Pandin, M.2    Didon, G.3    Dibello, C.4
  • 13
    • 2342501365 scopus 로고    scopus 로고
    • Genome-wide localization of the nuclear transport machinery couples transcriptional status and nuclear organization
    • J.M. Casolari, C.R. Brown, S. Komili, J. West, H. Hieronymus, and P.A. Silver Genome-wide localization of the nuclear transport machinery couples transcriptional status and nuclear organization Cell 117 May (4) 2004 427 439
    • (2004) Cell , vol.117 , Issue.MAY 4 , pp. 427-439
    • Casolari, J.M.1    Brown, C.R.2    Komili, S.3    West, J.4    Hieronymus, H.5    Silver, P.A.6
  • 14
    • 0029999538 scopus 로고    scopus 로고
    • Mitotic chromosome condensation in the rDNA requires TRF4 and DNA topoisomerase i in Saccharomyces cerevisiae
    • I.B. Castaño, P.M. Brzoska, B.U. Sadoff, H. Chen, and M.F. Christman Mitotic chromosome condensation in the rDNA requires TRF4 and DNA topoisomerase I in Saccharomyces cerevisiae Genes Dev. 10 October (20) 1996 2564 2576
    • (1996) Genes Dev. , vol.10 , Issue.OCTOBER 20 , pp. 2564-2576
    • Castaño, I.B.1    Brzoska, P.M.2    Sadoff, B.U.3    Chen, H.4    Christman, M.F.5
  • 15
    • 0141686299 scopus 로고    scopus 로고
    • Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features
    • S.B. Cho, and J. Ryu Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features Proc. IEEE 90 November (11) 2002 1744 1753
    • (2002) Proc. IEEE , vol.90 , Issue.NOVEMBER 11 , pp. 1744-1753
    • Cho, S.B.1    Ryu, J.2
  • 20
    • 0037245822 scopus 로고    scopus 로고
    • Mining gene expression databases for association rules
    • C. Creighton, and S. Hanash Mining gene expression databases for association rules Bioinformatics 19 1 2003 79 86
    • (2003) Bioinformatics , vol.19 , Issue.1 , pp. 79-86
    • Creighton, C.1    Hanash, S.2
  • 21
    • 35048829917 scopus 로고    scopus 로고
    • Mining association rules using relative confidence
    • T.D. Do, S.C. Hui, and A.C.M. Fong Mining association rules using relative confidence IDEAL 2004 306 313
    • (2004) IDEAL , pp. 306-313
    • Do, T.D.1    Hui, S.C.2    Fong, A.C.M.3
  • 23
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent pattern without candidate generation
    • J. Han, J. Pei, and Y. Sin Mining frequent pattern without candidate generation Proc. of ACM SIGKDD 2000 1 10
    • (2000) Proc. of ACM SIGKDD , pp. 1-10
    • Han, J.1    Pei, J.2    Sin, Y.3
  • 24
    • 0002401815 scopus 로고
    • Discovery of multiple-level association rules from large databases
    • Zurich, Switzerland
    • J. Han, and Y. Fu Discovery of multiple-level association rules from large databases Proc. of 21st Int. Conf. Very Large Data Bases (VLDB) Zurich, Switzerland 1995 420 431
    • (1995) Proc. of 21st Int. Conf. Very Large Data Bases (VLDB) , pp. 420-431
    • Han, J.1    Fu, Y.2
  • 27
    • 84945299663 scopus 로고    scopus 로고
    • A confidence-lift support specification for interesting associations mining
    • W.Y. Lin, M.C. Tseng, and J.H. Su A confidence-lift support specification for interesting associations mining Proc. of PAKDD 2002 148 158
    • (2002) Proc. of PAKDD , pp. 148-158
    • Lin, W.Y.1    Tseng, M.C.2    Su, J.H.3
  • 28
    • 0001267179 scopus 로고    scopus 로고
    • Mining association rules with multiple minimum supports
    • San Deigo, CA, USA
    • B. Liu, W. Hsu, and Y. Ma Mining association rules with multiple minimum supports Proc. of 1999 ACM-SIGKDD San Deigo, CA, USA 1999 337 341
    • (1999) Proc. of 1999 ACM-SIGKDD , pp. 337-341
    • Liu, B.1    Hsu, W.2    Ma, Y.3
  • 29
    • 33751160855 scopus 로고    scopus 로고
    • Efficient mining of frequent patterns using ascending frequency ordered prefix-tree
    • G. Liu, H. Lu, W. Lou, Y. Xu, and J.X. Yu Efficient mining of frequent patterns using ascending frequency ordered prefix-tree Data Min. Knowl. Disc. 9 2004 249 274
    • (2004) Data Min. Knowl. Disc. , vol.9 , pp. 249-274
    • Liu, G.1    Lu, H.2    Lou, W.3    Xu, Y.4    Yu, J.X.5
  • 30
    • 33746600352 scopus 로고    scopus 로고
    • An efficient semi-unsupervised gene selection method via spectral biclustering
    • B. Liu, C. Wan, and L.P. Wang An efficient semi-unsupervised gene selection method via spectral biclustering IEEE Trans. Nano-Biosci. 5 2 2006 110 114
    • (2006) IEEE Trans. Nano-Biosci. , vol.5 , Issue.2 , pp. 110-114
    • Liu, B.1    Wan, C.2    Wang, L.P.3
  • 32
    • 77957922440 scopus 로고    scopus 로고
    • Classification of gene expression data in an ontolog
    • Springer-Verlag Berlin, Germany
    • H. Midelfart, A. Lægreid, and J. Komorowski Classification of gene expression data in an ontolog Lecture Notes in Computer Science vol. 2199 2001 Springer-Verlag Berlin, Germany pp. 186-194
    • (2001) Lecture Notes in Computer Science , vol.2199
    • Midelfart, H.1    Lægreid, A.2    Komorowski, J.3
  • 33
    • 7744234408 scopus 로고    scopus 로고
    • Phosphorylation-dependent binding of mitotic cyclins to cdc6 contributes to dna replication control
    • S. Mimura, T. Seki, S. Tanaka, and J.F. Diffley Phosphorylation-dependent binding of mitotic cyclins to cdc6 contributes to dna replication control Nature 431 October (7012) 2004 1118 1123
    • (2004) Nature , vol.431 , Issue.OCTOBER 7012 , pp. 1118-1123
    • Mimura, S.1    Seki, T.2    Tanaka, S.3    Diffley, J.F.4
  • 35
    • 0037249129 scopus 로고    scopus 로고
    • Alternative interest measures for mining associations in databases
    • E. Omiecinski Alternative interest measures for mining associations in databases IEEE Trans. Knowl. Data Eng. 15 1 2003 57 69
    • (2003) IEEE Trans. Knowl. Data Eng. , vol.15 , Issue.1 , pp. 57-69
    • Omiecinski, E.1
  • 36
    • 38149033543 scopus 로고    scopus 로고
    • Association against dissociation: Some pragmatic considerations for Frequent Itemset generation under Fixed and Variable Thresholds
    • S. Pal, and A. Bagchi Association against dissociation: some pragmatic considerations for Frequent Itemset generation under Fixed and Variable Thresholds SIGKDD Explor. 7 2 2005 151 159
    • (2005) SIGKDD Explor. , vol.7 , Issue.2 , pp. 151-159
    • Pal, S.1    Bagchi, A.2
  • 38
    • 43749090252 scopus 로고    scopus 로고
    • Investigation of self-organizing oscillator networks for use in clustering microarray data
    • S.A. Salem, L.B. Jack, and A.K. Nandi Investigation of self-organizing oscillator networks for use in clustering microarray data IEEE Trans. NanoBiosci. 7 1 2008 65 79
    • (2008) IEEE Trans. NanoBiosci. , vol.7 , Issue.1 , pp. 65-79
    • Salem, S.A.1    Jack, L.B.2    Nandi, A.K.3
  • 40
  • 42
    • 30344477625 scopus 로고    scopus 로고
    • Efficiently mining gene expression data via a novel parameterless clustering method
    • V.S. Tseng, and C.P. Kao Efficiently mining gene expression data via a novel parameterless clustering method IEEE/ACM Trans. Comput. Biol. Bioinform. 2 4 2005 355 365
    • (2005) IEEE/ACM Trans. Comput. Biol. Bioinform. , vol.2 , Issue.4 , pp. 355-365
    • Tseng, V.S.1    Kao, C.P.2
  • 44
    • 33847753038 scopus 로고    scopus 로고
    • Accurate cancer classification using expressions of very few genes
    • L. Wang, F. Chu, and W. Xie Accurate cancer classification using expressions of very few genes IEEE/ACM Trans. Bioinform. Comput. Biol. 4 1 2007 40 52
    • (2007) IEEE/ACM Trans. Bioinform. Comput. Biol. , vol.4 , Issue.1 , pp. 40-52
    • Wang, L.1    Chu, F.2    Xie, W.3
  • 46
    • 0038148379 scopus 로고    scopus 로고
    • Mining association rules on significant rare data using relative support
    • H. Yun, D. Ha, B. Hwang, and K.H. Ryu Mining association rules on significant rare data using relative support J. Syst. Soft. 67 3 2003 181 191
    • (2003) J. Syst. Soft. , vol.67 , Issue.3 , pp. 181-191
    • Yun, H.1    Ha, D.2    Hwang, B.3    Ryu, K.H.4
  • 47
    • 0033718951 scopus 로고    scopus 로고
    • Scalable algorithms for association rule mining
    • M.J. Zaki Scalable algorithms for association rule mining IEEE Trans. Knowl. Data Eng. 12 3 2000 372 390
    • (2000) IEEE Trans. Knowl. Data Eng. , vol.12 , Issue.3 , pp. 372-390
    • Zaki, M.J.1
  • 48
    • 6344277753 scopus 로고    scopus 로고
    • Fast vertical mining using diffsets
    • Washington, DC, USA
    • M.J. Zaki, and K. Gouda Fast vertical mining using diffsets Proc. of ACM SIGKDD Washington, DC, USA 2003
    • (2003) Proc. of ACM SIGKDD
    • Zaki, M.J.1    Gouda, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.