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Content Provider | IEEE Xplore Digital Library |
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Author | da Silva, A. Lechevallier, Y. de Carvalho, F. Trousse, B. |
Copyright Year | 2006 |
Description | Author affiliation: INRIA, France (da Silva, A.) |
Abstract | The analysis of a web site based on usage data is an important task as it provides insight into the organization of the site and its adequacy regarding user needs. This allows the relationship between prior categories and user browsing patterns to be explored. In this paper we propose an approach for discovering the profiles of visitor groups. To this end, we begin by mapping user interests into symbolic objects, which is the basis of the Symbolic Data Analysis and represents here a successful interaction of the user with the web site. We then identify groups of users with similar behavior by means of a dynamic clustering approach applying a context dependent dissimilarity measure. The method was applied to identify visitor groups of a web site in the educational domain and also to analyze the traces of different user behavior. |
Starting Page | 910 |
Ending Page | 915 |
File Size | 569365 |
Page Count | 6 |
File Format | |
ISBN | 0769525881 |
ISSN | 15301346 |
DOI | 10.1109/ISCC.2006.102 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-06-26 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Data mining Navigation Web server Web pages Monitoring Data analysis Statistics Software standards Databases Pattern analysis |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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