Discovering patterns of Web Page Visits from Associaton Rules Viewpoint

Łukasz Mikulski; Paweł Weichbroth

Discovering patterns of Web Page Visits from Associaton Rules Viewpoint

Abstract

The popularity of the Internet results from the almost unlimited resources of information stored in it. At the same time, Internet portals have become a widespread source of information and note very large number of visits. The list of web pages opened by users is stored in web servers' log files. Extraction of knowledge on the navigation paths of users has become carefully analyzed problem. Currently, there are a number of algorithms that are used for this purpose. The formal representation of knowledge discovered from databases are association rules. Their extraction requires to find all the "frequent" sets. The contribution from the authors is an extension of the Apriori algorithm by adding capacitance of generating association rules during the search of "frequent" sets. Furthermore, the implication of the obtained knowledge is a graphical representation, showing the patterns of users' visits. To this purpose the method of mind mapping is used.

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Category:: Articles
Type:: artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:: POLISH JOURNAL OF ENVIRONMENTAL STUDIES no. 18, pages 267 - 271,
ISSN: 1230-1485
Language:: English
Publication year:: 2009
Bibliographic description:: Mikulski Ł., Weichbroth P.: Discovering patterns of Web Page Visits from Associaton Rules Viewpoint// POLISH JOURNAL OF ENVIRONMENTAL STUDIES. -Vol. 18., nr. No 3B [suplement] (2009), s.267-271
Verified by:: Gdańsk University of Technology