Web Usage Mining using Improved FP Tree Algorithm with Customized Web Log Preprocessing
Main Article Content
Abstract
Web Usage Mining mines Web access logs for interesting patterns in WWW traffic. Web Usage Mining discovers interesting patterns
in accesses to various Web pages within the Web space associated with a particular server. The Web Usage Mining architecture divides the
process into two main parts- the first part includes preprocessing, transaction identification, and data integration components. The second part
includes the largely domain independent application of generic data mining and pattern matching. Input to the Web usage Mining process is
Web Server Logs, Error logs, User Cookies and Client Cache Records. This paper contains an efficient improved iterative FP Tree algorithm for
generating frequent access patterns from the access paths of the users. The frequent access patterns are generated by backward tree traversals.
This operation will take less time compare to the existing algorithms. Paper also composed of customized web log preprocessing for mined in
different applications.
Â
Keywords: Web Usage Mining, FP Tree, Web Logs, Web Log Preprocessing, Customized Web Log Preprocessing
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.