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Volumn , Issue , 2012, Pages 3-12

Visual cluster exploration of web clickstream data

Author keywords

[No Author keywords available]

Indexed keywords

CLICKSTREAM DATA; CLICKSTREAMS; CLUSTERING RESULTS; COMPLEX DATASETS; DATA SETS; INTUITIVE USER INTERFACE; MARKOV CHAIN MODELS; USER BEHAVIOR PATTERNS; VISUAL ANALYTICS SYSTEMS;

EID: 84872966556     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2012.6400494     Document Type: Conference Paper
Times cited : (85)

References (28)
  • 4
    • 0029120894 scopus 로고
    • Human-efficiency for recognizing and detecting low-pass filtered objects
    • W. L. Braje, B. S. Tjan, and G. E. Legge. Human-efficiency for recognizing and detecting low-pass filtered objects. Vision Research, 35(21):2955-2966, 1995.
    • (1995) Vision Research , vol.35 , Issue.21 , pp. 2955-2966
    • Braje, W.L.1    Tjan, B.S.2    Legge, G.E.3
  • 6
    • 67349252614 scopus 로고    scopus 로고
    • Model-based clustering by probabilistic self-organizing maps
    • S.-S. Cheng, H.-C. Fu, and H.-M. Wang. Model-based clustering by probabilistic self-organizing maps. IEEE Transactions on Neural Networks, 20(5):805-826, 2009.
    • (2009) IEEE Transactions on Neural Networks , vol.20 , Issue.5 , pp. 805-826
    • Cheng, S.-S.1    Fu, H.-C.2    Wang, H.-M.3
  • 10
    • 85032279305 scopus 로고
    • Tree-maps: A space-filling approach to the visualization of hierarchical information structures
    • Los Alamitos, CA, USA, IEEE Computer Society Press
    • B. Johnson and B. Shneiderman. Tree-maps: a space-filling approach to the visualization of hierarchical information structures. In Proceedings of the 2nd conference on Visualization '91, VIS '91, pages 284-291, Los Alamitos, CA, USA, 1991. IEEE Computer Society Press.
    • (1991) Proceedings of the 2nd Conference on Visualization '91, VIS '91 , pp. 284-291
    • Johnson, B.1    Shneiderman, B.2
  • 11
    • 0345404396 scopus 로고    scopus 로고
    • The self-organizing map
    • T. Kohonen. The self-organizing map. Neurocomputing, 21(1-3):1-6, 1998.
    • (1998) Neurocomputing , vol.21 , Issue.1-3 , pp. 1-6
    • Kohonen, T.1
  • 12
  • 13
    • 84872951333 scopus 로고    scopus 로고
    • On using page cooccurrences for computing clickstream similarity
    • R. Kothari, P. A. Mittal, V. Jain, and M. K. Mohania. On using page cooccurrences for computing clickstream similarity. In SDM, 2003.
    • (2003) SDM
    • Kothari, R.1    Mittal, P.A.2    Jain, V.3    Mohania, M.K.4
  • 15
    • 23144434009 scopus 로고    scopus 로고
    • Visualization and analysis of clickstream data of online stores for understanding web merchandising
    • January
    • J. Lee, M. Podlaseck, E. Schonberg, and R. Hoch. Visualization and analysis of clickstream data of online stores for understanding web merchandising. Data Min. Knowl. Discov., 5:59-84, January 2001.
    • (2001) Data Min. Knowl. Discov. , vol.5 , pp. 59-84
    • Lee, J.1    Podlaseck, M.2    Schonberg, E.3    Hoch, R.4
  • 19
    • 11144311052 scopus 로고    scopus 로고
    • Modeling online browsing and path analysis using clickstream data
    • September
    • A. L. Montgomery, S. Li, K. Srinivasan, and J. C. Liechty. Modeling online browsing and path analysis using clickstream data. Marketing Science, 23:579-595, September 2004.
    • (2004) Marketing Science , vol.23 , pp. 579-595
    • Montgomery, A.L.1    Li, S.2    Srinivasan, K.3    Liechty, J.C.4
  • 20
    • 84872196761 scopus 로고    scopus 로고
    • Trail explorer: Understanding user experience in webpage flows
    • Salt Lake City, Utah, USA
    • Z. Shen and N. Sundaresan. Trail explorer: Understanding user experience in webpage flows. In IEEE VisWeek Discovery Exhibition, Salt Lake City, Utah, USA, 2010.
    • (2010) IEEE VisWeek Discovery Exhibition
    • Shen, Z.1    Sundaresan, N.2
  • 21
  • 22
    • 0002000090 scopus 로고    scopus 로고
    • Web usage mining: Discovery and applications of usage patterns from web data
    • January
    • J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan. Web usage mining: discovery and applications of usage patterns from web data. SIGKDD Explor. Newsl., 1:12-23, January 2000.
    • (2000) SIGKDD Explor. Newsl. , vol.1 , pp. 12-23
    • Srivastava, J.1    Cooley, R.2    Deshpande, M.3    Tan, P.-N.4
  • 23
    • 85094574423 scopus 로고    scopus 로고
    • Mielog: A highly interactive visual log browser using information visualization and statistical analysis
    • Berkeley, CA, USA, USENIX Association
    • T. Takada and H. Koike. Mielog: A highly interactive visual log browser using information visualization and statistical analysis. In Proceedings of the 16th USENIX conference on System administration, pages 133-144, Berkeley, CA, USA, 2002. USENIX Association.
    • (2002) Proceedings of the 16th USENIX Conference on System Administration , pp. 133-144
    • Takada, T.1    Koike, H.2
  • 24
    • 35048854259 scopus 로고    scopus 로고
    • An overview of web data clustering practices
    • A. Vakali, J. Pokorný, and T. Dalamagas. An overview of web data clustering practices. In EDBT Workshops, pages 597-606, 2004.
    • (2004) EDBT Workshops , pp. 597-606
    • Vakali, A.1    Pokorný, J.2    Dalamagas, T.3
  • 27
    • 84863418638 scopus 로고    scopus 로고
    • Analysis of large digital collections with interactive visualization
    • W. Xu, M. Esteva, S. D. Jain, and V. Jain. Analysis of large digital collections with interactive visualization. In IEEE VAST, pages 241-250, 2011.
    • (2011) IEEE VAST , pp. 241-250
    • Xu, W.1    Esteva, M.2    Jain, S.D.3    Jain, V.4
  • 28
    • 23144437001 scopus 로고    scopus 로고
    • Automatic categorization of web pages and user clustering with mixtures of hidden markov models
    • A. Ypma and T. Heskes. Automatic categorization of web pages and user clustering with mixtures of hidden markov models. In WEBKDD, pages 35-49, 2002.
    • (2002) WEBKDD , pp. 35-49
    • Ypma, A.1    Heskes, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.