Article

Visual web mining

Authors:

Amir H. Youssefi,

David J. Duke,

Mohammed J. ZakiAuthors Info & Claims

WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

Pages 394 - 395

https://doi.org/10.1145/1013367.1013492

Published: 19 May 2004 Publication History

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Abstract

Analysis of web site usage data involves two significant challenges: firstly the volume of data, arising from the growth of the web, and secondly, the structural complexity of web sites. In this paper we apply Data Mining and Information Visualization techniques to the web domain in order to benefit from the power of both human visual perception and computing we term this Visual Web Mining. In response to the two challenges, we propose a generic framework, where we apply Data Mining techniques to large web data sets and use Information Visualization methods on the results. The goal is to correlate the outcomes of mining Web Usage Logs and the extracted Web Structure by visually superimposing the results. We design several new information visualization diagrams.

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I. Herman, M. Delest, and G. Melancon. Graph visualization and navigation in information visualization: A survey. IEEE Transactions on Visualization and Computer Graphics, 6(1), 2000.

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A. H. Youssefi, D. J. Duke, M. J. Zaki, and E. P. Glinert. Toward visual web mining. In Visual Data Mining Workshop IEEE Int'l Conf. on Data Mining, 2003.

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Griazev K(2024)Internet Web page content block dataset and solutions for its data labelling simplificationundefined10.20334/2024-032-MOnline publication date: 2024
https://doi.org/10.20334/2024-032-M
Luis Ortega JAguillo I(2013)Network visualisation as a way to the web usage analysisAslib Proceedings10.1108/0001253131129717765:1(40-53)Online publication date: Jan-2013
https://doi.org/10.1108/00012531311297177
Sasaki TYaguchi YWatanobe YOka R(2012)Extracting a spatial ontology from a large Flickr tag dataset4th International Conference on Awareness Science and Technology10.1109/iCAwST.2012.6469595(91-97)Online publication date: Aug-2012
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Visual web mining

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Information & Contributors

Information

Published In

WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

May 2004

532 pages

ISBN:1581139128

DOI:10.1145/1013367

Conference Chairs:
Stuart Feldman
IBM Research
,
Mike Uretsky
New York University
,
Program Chairs:
Marc Najork
Microsoft Research
,
Craig Wills
Worcester Polytechnic Institute

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 2004

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WWW04

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WWW04: The 2004 World Wide Web Conference ( in conjunction with ACM Conference on Electronic Commerce [EC'04])

May 19 - 21, 2004

NY, New York, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Griazev K(2024)Internet Web page content block dataset and solutions for its data labelling simplificationundefined10.20334/2024-032-MOnline publication date: 2024
https://doi.org/10.20334/2024-032-M
Luis Ortega JAguillo I(2013)Network visualisation as a way to the web usage analysisAslib Proceedings10.1108/0001253131129717765:1(40-53)Online publication date: Jan-2013
https://doi.org/10.1108/00012531311297177
Sasaki TYaguchi YWatanobe YOka R(2012)Extracting a spatial ontology from a large Flickr tag dataset4th International Conference on Awareness Science and Technology10.1109/iCAwST.2012.6469595(91-97)Online publication date: Aug-2012
https://doi.org/10.1109/iCAwST.2012.6469595
Liu YAndersen ESnider RCooper SPopović ZCavazza MIsbister KRich C(2011)Feature-based projections for effective playtrace analysisProceedings of the 6th International Conference on Foundations of Digital Games10.1145/2159365.2159375(69-76)Online publication date: 29-Jun-2011
https://dl.acm.org/doi/10.1145/2159365.2159375
Alhenshiri ABrooks SWatters CShepherd M(2010)Augmenting the visual presentation of Web search results2010 Fifth International Conference on Digital Information Management (ICDIM)10.1109/ICDIM.2010.5664665(101-107)Online publication date: Jul-2010
https://doi.org/10.1109/ICDIM.2010.5664665
Meng HFong S(2010)Visualizing e-Government portal and its performance in WEBVS2010 Fifth International Conference on Digital Information Management (ICDIM)10.1109/ICDIM.2010.5664640(315-320)Online publication date: Jul-2010
https://doi.org/10.1109/ICDIM.2010.5664640
Romanowski C(2009)Graphical Data MiningEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch147(950-956)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-010-3.ch147
Wagatsuma TYaguchi YOka R(2009)Cross-Media Data Mining Using Associated Keyword SpaceProceedings of the 2009 Ninth IEEE International Conference on Computer and Information Technology - Volume 0210.1109/CIT.2009.41(289-294)Online publication date: 11-Oct-2009
https://dl.acm.org/doi/10.1109/CIT.2009.41
Ahmed BRasheed TLee YLee SKim T(2007)Facial Image Retrieval through Compound Queries Using Constrained Independent Component AnalysisProceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 0110.1109/ICTAI.2007.102(544-548)Online publication date: 29-Oct-2007
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Chang CLin CChou H(2006)Perfect Hashing Schemes for Mining Traversal PatternsFundamenta Informaticae10.5555/2369276.236927870:3(185-202)Online publication date: 1-Aug-2006
https://dl.acm.org/doi/10.5555/2369276.2369278
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