Front Inner Page - Volume 3 No.4 August 2016

  • » Back to Index

  • Title

    :

    Web Usage Mining: Improve The User Navigation Pattern Using Fp-Growth Algorithm

    Authors

    :

    K.Dharmarajan1, Dr.M.A.Dorairangaswamy2

    Keywords

    :

    Web Usage Mining; Fp-Growth Algotithm; Website; Assocation rule.

    Issue Date

    :

    August 2016

    Abstract

    :

    In this paper main goal of web usage mining is to understand the behavior of web site users through the process of data mining of web access data. Knowledge obtained from web usage mining can be used to enhance web design, introduce personalization service and facilitate more effective browsing. Web access log analysis is to analyze the patterns of web site usage and the features of user’s behavior. Weblog data is one of the major sources which contain all the information regarding the users visited links, browsing patterns, time spent on a particular page or link and this information can be used in several applications like adaptive web sites, modified services, customer summary, pre-fetching, generate attractive web sites etc. In this paper we are using the FP-growth algorithm for obtaining frequent access patterns from the web log data and providing valuable information about the user’s interest.

    Page(s)

    :

    1-4

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 3, No.4, August 2016

    Download

    :


  • » Back index