| Interactive path analysis of web site traffic |
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International Conference on Knowledge Discovery and Data Mining
archive
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
table of contents
San Francisco, California
Pages: 414 - 419
Year of Publication: 2001
ISBN:1-58113-391-X
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Downloads (6 Weeks): 11, Downloads (12 Months): 81, Citation Count: 5
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ABSTRACT
The goal of Path Analysis is to understand visitors' navigation of a Web site. The fundamental analysis component is a path. A path is a finite sequence of elements, typically representing URLs or groups of URLs. A full path is an abstraction of a visit or a session, which can contain attributes described below. Subpaths represent interesting subsequences of the full paths.Path Analysis provides user-configurable extraction, filtering, preprocessing, noise reduction, descriptive statistics and detailed analysis of three basic specific objects: elements, (sub)paths, and couples of elements. In each case, lists of frequent objects --- subject to particular filtering and sorting --- are available. We call the corresponding interactive tools Element, Path, and Couple Analyzers.We also allow in-depth exploration of individual elements, paths, and couples: Element Explorer investigates composition and convergence of traffic through an element and allows conditioning based on the number of preceding/succeeding steps. Path Explorer visualizes in and out flows of a path and attrition rate along the path. Couple Explorer presents distinct paths connecting couple elements, along with measures of their association and some additional statistics.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 5
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Gui-Rong Xue , Hua-Jun Zeng , Zheng Chen , Wei-Ying Ma , Hong-Jiang Zhang , Chao-Jun Lu, Implicit link analysis for small web search, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, July 28-August 01, 2003, Toronto, Canada
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