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Volumn 2006, Issue , 2006, Pages 407-418

Mining approximate frequent itemsets in the presence of noise: Algorithm and analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER APPLICATIONS; COMPUTER SIMULATION; DATA REDUCTION; MATHEMATICAL MODELS; REAL TIME SYSTEMS; SET THEORY; SPURIOUS SIGNAL NOISE;

EID: 33745443433     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972764.36     Document Type: Conference Paper
Times cited : (36)

References (20)
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    • SIGMOD 1993
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 2
    • 0001371923 scopus 로고    scopus 로고
    • Fast discovery of association rules
    • U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, chapter 12. AAAI Pre
    • R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, and A Verkamo. Fast discovery of association rules. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discove and Data Mining, chapter 12, pages 307328. AAAI Pre 1996.
    • (1996) Advances in Knowledge Discove and Data Mining , pp. 307328
    • Agrawal, R.1    Mannila, H.2    Srikant, R.3    Toivonen, H.4    Verkamo, A.5
  • 3
    • 33745458203 scopus 로고    scopus 로고
    • Strong-association-rule mining for large-scale gene-expression data analysis: A case study on humaMining gene expression databases for association rules
    • C. Becquet, S. Blachon, B. Jeudy, J.F. Boulicaut, O. Gandrillon. Strong-association-rule mining for large-scale gene-expression data analysis: a case study on humaMining gene expression databases for association rules. n SAGE data. Genome Biol. 2002
    • N SAGE Data. Genome Biol. 2002
    • Becquet, C.1    Blachon, S.2    Jeudy, B.3    Boulicaut, J.F.4    Gandrillon, O.5
  • 7
    • 0037245822 scopus 로고    scopus 로고
    • Mining gene expression databases for association rules
    • Jan
    • C. Creighton, S. Hanash. Mining gene expression databases for association rules. Bioinformatics. 2003 Jan;19(1):79-86.
    • (2003) Bioinformatics , vol.19 , Issue.1 , pp. 79-86
    • Creighton, C.1    Hanash, S.2
  • 15
    • 12244289922 scopus 로고    scopus 로고
    • Support envelopes: A technique for exploring the structure of association patterns
    • M. Steinbach, P. Tan, V. Kumar. Support envelopes: a technique for exploring the structure of association patterns. In SIGKDD 2004.
    • SIGKDD 2004
    • Steinbach, M.1    Tan, P.2    Kumar, V.3
  • 16
    • 0035672170 scopus 로고    scopus 로고
    • Biogeography of Australian freshwater fishes
    • Blackwell Science Ltd.
    • P. J. Unmack. Biogeography of Australian freshwater fishes. Journal of Biogeography. Vol. 28: pages 1053-1089. Blackwell Science Ltd. 2001.
    • (2001) Journal of Biogeography , vol.28 , pp. 1053-1089
    • Unmack, P.J.1
  • 18
    • 0035789315 scopus 로고    scopus 로고
    • Efficient discovery of error-tolerant frequent itemsets in high dimensions
    • Cheng Yang, Usama Fayyad, Paul S. Bradley. Efficient discovery of error-tolerant frequent itemsets in high dimensions. In SIGKDD 2001.
    • SIGKDD 2001
    • Yang, C.1    Fayyad, U.2    Bradley, P.S.3
  • 19
    • 0035841226 scopus 로고    scopus 로고
    • A statistical method for agging weak spots improves normalization and ratio estimates in microarrays
    • M. C. Yang, Q. G. Ruan, J. J Yang., S. Eckenrode, S. Wu, R. A. McIndoe, and J. X. She., A statistical method for agging weak spots improves normalization and ratio estimates in microarrays, Physiol. Genomics, 7:4553, 2001.
    • (2001) Physiol. Genomics , vol.7 , pp. 4553
    • Yang, M.C.1    Ruan, Q.G.2    Yang, J.J.3    Eckenrode, S.4    Wu, S.5    McIndoe, R.A.6    She, J.X.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.