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Volumn , Issue , 2007, Pages 657-663

A scalable association rule visualization towards displaying large amounts of knowledge

Author keywords

Association rule mining; Clustering; Human computer interaction; Visualization

Indexed keywords

COMPUTER VISION; DATA MINING; GRAPHICAL USER INTERFACES; HUMAN COMPUTER INTERACTION; INTEGRATED CONTROL;

EID: 35348889154     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2007.16     Document Type: Conference Paper
Times cited : (21)

References (24)
  • 2
    • 84867817851 scopus 로고    scopus 로고
    • Y Bastide, N. Pasquier, R. Taouil, G. Stumme, and L. Lakhal. Mining minimal non-redundant association rules using frequent closed itemsets. In Proceedings of the 1st International Conference on Computational Logic (DOOD 2000), Springer-Verlag, LNAI, 1861, London, UK, pages 972-986, July 2000.
    • Y Bastide, N. Pasquier, R. Taouil, G. Stumme, and L. Lakhal. Mining minimal non-redundant association rules using frequent closed itemsets. In Proceedings of the 1st International Conference on Computational Logic (DOOD 2000), Springer-Verlag, LNAI, volume 1861, London, UK, pages 972-986, July 2000.
  • 7
    • 35348847816 scopus 로고    scopus 로고
    • Pattern visualization
    • Technical report, University of Konstanz, Germany, Computer Science department, December
    • B. Bustos, D. A. Keim, J. Schneidewind, T Schreck, and M. Sips. Pattern visualization. Technical report, University of Konstanz, Germany, Computer Science department, December 2003.
    • (2003)
    • Bustos, B.1    Keim, D.A.2    Schneidewind, J.3    Schreck, T.4    Sips, M.5
  • 8
    • 35348859569 scopus 로고    scopus 로고
    • O. Couturier, E. Mephu Nguifo, and B. Noiret. A formal approach to occlusion and optimization in association rules visualization. In Proceedings of the International Symposium of Visual Data Mining (VDM) of the IEEE 9th International Conference on Information Visualization (IV@VDM'05), Poster, Londres, UK, July 2005.
    • O. Couturier, E. Mephu Nguifo, and B. Noiret. A formal approach to occlusion and optimization in association rules visualization. In Proceedings of the International Symposium of Visual Data Mining (VDM) of the IEEE 9th International Conference on Information Visualization (IV@VDM'05), Poster, Londres, UK, July 2005.
  • 24
    • 4444335803 scopus 로고    scopus 로고
    • MIRAGE: A framework for mining, exploring and visualizing minimal association rules
    • Technical report, Department of Computer Science, Rensselaer Polytechnic Institute, USA, July
    • M. J. Zaki and B. Phoophakdee. MIRAGE: A framework for mining, exploring and visualizing minimal association rules. Technical report (http://www.cs.rpi. edu/research/), Department of Computer Science, Rensselaer Polytechnic Institute, USA, July 2003.
    • (2003)
    • Zaki, M.J.1    Phoophakdee, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.