Analysis of Web Usage Mining techniques to predict the user behavior from Web Server Log Files
Main Article Content
Abstract
Web usage mining can be defined as the approach to find the fascinating patterns from the web information in order to comprehend the web based implementation. The fundamental target of present research is to decide a few new web use mining approaches which are valuable for extracting the learning which is covered up in the web utilization logs. To be more particular the exploration work centers to mine the web server logs. The present study has been taken up with a view to study the different algorithms. It has been observed that Apriori algorithm is easy to implement and k-means clustering produces tighter clusters whereas FP-Growth pattern is faster than the Apriori algorithm. These algorithms are studied to find the interest of the students according to the sites that are frequently visited by the students.
.
.
Downloads
Download data is not yet available.
Article Details
Section
Articles
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.