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Interactive web usage mining with the navigation visualizer

Published: 02 April 2005 Publication History

Abstract

Web usage mining, the analysis of user navigation paths through web sites, is a common technique for evaluating site designs or adaptive hypermedia techniques. However, often it is hard to relate aggregated clusters or measures to actual user navigation behavior. By contrast, basic graph-based visualizations of user navigation paths are easier to interpret, but it is difficult to find effective views that convey all the required information. In this paper we present the Navigation Visualizer, a web usage analysis tool that combines the two approaches. The Navigation Visualizer makes use of the rich data set that is collected by the Scone proxy-based web enhancement framework and facilitates dynamic selection of the data and interactive exploration with various layout mechanisms, color codings and markers. Several aggregated measures can be calculated and exported to statistical and data mining packages.

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Cited By

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  • (2013)Network visualisation as a way to the web usage analysisAslib Proceedings10.1108/0001253131129717765:1(40-53)Online publication date: Jan-2013
  • (2012)Development of Topic Navigation System for Assisting Searches on the WebProceedings of the 2012 26th International Conference on Advanced Information Networking and Applications Workshops10.1109/WAINA.2012.114(845-850)Online publication date: 26-Mar-2012
  • (2009)Identifying web navigation behaviour and patterns automatically from clickstream dataInternational Journal of Web Engineering and Technology10.1504/IJWET.2009.0322555:4(398-426)Online publication date: 1-Mar-2009
  • Show More Cited By

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cover image ACM Conferences
CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing Systems
April 2005
1358 pages
ISBN:1595930027
DOI:10.1145/1056808
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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New York, NY, United States

Publication History

Published: 02 April 2005

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Author Tags

  1. access tracking
  2. interactive visualization
  3. user navigation
  4. web sites
  5. web usage mining

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Cited By

View all
  • (2013)Network visualisation as a way to the web usage analysisAslib Proceedings10.1108/0001253131129717765:1(40-53)Online publication date: Jan-2013
  • (2012)Development of Topic Navigation System for Assisting Searches on the WebProceedings of the 2012 26th International Conference on Advanced Information Networking and Applications Workshops10.1109/WAINA.2012.114(845-850)Online publication date: 26-Mar-2012
  • (2009)Identifying web navigation behaviour and patterns automatically from clickstream dataInternational Journal of Web Engineering and Technology10.1504/IJWET.2009.0322555:4(398-426)Online publication date: 1-Mar-2009
  • (2006)VU-FlowIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2006.10912:6(1475-1485)Online publication date: 1-Nov-2006

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