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Popular web hot spots identification and visualization

Published: 10 May 2005 Publication History

Abstract

This work aims a two-fold contribution: it presents a software to analyse logfiles and visualize popular web hot spots and, additionally, presents an algorithm to use this information in order to identify subsets of the website that display large access patterns. Such information is extremely valuable to the site maintainer, since it indicates points that may need content intervention or/and site graph restructuring. Experimental validation verified that the visualization tool, when coupled with algorithms that infer frequent traversal patterns, is both effective in indicating popular hot spots and efficient in doing so by using graph-based representations of popular traversals.

References

[1]
M.-S. Chen, J. S. Park, and P. S. Yu. Efficient Data mining for path traversal patterns. Knowledge and Data Eng., 10(2), pp. 209--221, 1998.
[2]
E. Christopoulou, J.Garofalakis, C. Makris, Y. Panagis, E. Sakkopoulos and A.Tsakalidis, Automating Restructuring of Web Applications, in 13th ACM Hypertext, Poster, 2002, available at: http://mmlab.ceid.upatras.gr/ht02/ht2002.pdf.
[3]
E. Christopoulou, J.Garofalakis, C.Makris, Y. Panagis, E. Sakkopoulos, A. Psaras-Chatzigeorgiou and A.Tsakalidis, Techniques and Metrics for Website Reorganization, J. of Web Eng., 2(1-2), pp. 90--114, 2003.
[4]
R. Cooley. Web Usage Mining: Discovery and Application of Interesting Patterns from Web data. PhD thesis, University of Minnesota, 2000.
[5]
R. Srikant, Y. Yang, Mining Web Logs to Improve Web Site Organization, in Proc. WWW01, pp. 430--437, 2001.

Cited By

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  • (2007)PromoProceedings of the 2007 Euro American conference on Telematics and information systems10.1145/1352694.1352725(1-7)Online publication date: 14-May-2007
  • (2006)An Algorithmic Framework for Adaptive Web ContentAdaptive and Personalized Semantic Web10.1007/3-540-33279-0_1(1-10)Online publication date: 2006

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cover image ACM Conferences
WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web
May 2005
454 pages
ISBN:1595930515
DOI:10.1145/1062745
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: 10 May 2005

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Author Tags

  1. access visualization
  2. maximal forward path
  3. usage mining

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

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Cited By

View all
  • (2007)PromoProceedings of the 2007 Euro American conference on Telematics and information systems10.1145/1352694.1352725(1-7)Online publication date: 14-May-2007
  • (2006)An Algorithmic Framework for Adaptive Web ContentAdaptive and Personalized Semantic Web10.1007/3-540-33279-0_1(1-10)Online publication date: 2006

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