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Volumn , Issue , 2011, Pages 757-760

MIME: A framework for interactive visual pattern mining

Author keywords

Interactive visual mining; MIME; Pattern exploration

Indexed keywords

ASSOCIATION RULES; DATA MINING;

EID: 80052686088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020408.2020529     Document Type: Conference Paper
Times cited : (34)

References (11)
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  • 2
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    • Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery
    • May
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    • Bertini, E.1    Lalanne, D.2
  • 4
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    • FpVAT: A visual analytic tool for supporting frequent pattern mining
    • May
    • C. L. Carmichael and C. K.-S. Leung. FpVAT: a visual analytic tool for supporting frequent pattern mining. SIGKDD Explor. Newsl., 11:39-48, May 2010.
    • (2010) SIGKDD Explor. Newsl. , vol.11 , pp. 39-48
    • Carmichael, C.L.1    Leung, C.K.-S.2
  • 5
    • 80052395055 scopus 로고    scopus 로고
    • VisAR : A new technique for visualizing mined association rules
    • X. Li, S. Wang, and Z. Dong, editors, Springer Berlin/Heidelberg
    • A. Datta and K. Techapichetvanich. VisAR : a new technique for visualizing mined association rules. In X. Li, S. Wang, and Z. Dong, editors, Adv. Data Min. Appl., pages 728-728. Springer Berlin/Heidelberg, 2005.
    • (2005) Adv. Data Min. Appl. , pp. 728-728
    • Datta, A.1    Techapichetvanich, K.2
  • 6
    • 80855141626 scopus 로고    scopus 로고
    • Maximum entropy models and subjective interestingness: An application to tiles in binary databases
    • In press
    • T. De Bie. Maximum entropy models and subjective interestingness: an application to tiles in binary databases. Data Min. Knowl. Disc., In press.
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    • De Bie, T.1
  • 8
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    • Interestingness measures for data mining: A survey
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    • L. Geng and H. J. Hamilton. Interestingness measures for data mining: A survey. ACM Comput. Surv., 38, September 2006.
    • (2006) ACM Comput. Surv. , vol.38
    • Geng, L.1    Hamilton, H.J.2
  • 9
    • 80052395223 scopus 로고    scopus 로고
    • Useful patterns (UP'10) ACM SIGKDD workshop report
    • March
    • B. Goethals, N. Tatti, and J. Vreeken. Useful patterns (UP'10) ACM SIGKDD workshop report. SIGKDD Explor. Newsl., 12:56-58, March 2011.
    • (2011) SIGKDD Explor. Newsl. , vol.12 , pp. 56-58
    • Goethals, B.1    Tatti, N.2    Vreeken, J.3
  • 11
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    • Selecting the right interestingness measure for association patterns
    • V. Kumar, J. Srivastava, and P.-N. Tan. Selecting the right interestingness measure for association patterns. In Proc. ACM SIGKDD, pages 32-41, 2002.
    • (2002) Proc. ACM SIGKDD , pp. 32-41
    • Kumar, V.1    Srivastava, J.2    Tan, P.-N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.