Call For Paper Volume:4 Issue:10 Oct'2017 |

A Review on Clustering Techniques used in Web Usage Mining

Publication Date : 28/02/2015



Author(s) :

Seema Sheware , Mrs A.A Nikose.


Volume/Issue :
Volume 2
,
Issue 2
(02 - 2015)



Abstract :

The World Wide Web continues to grow repository of web pages and links at an exponential rate which makes exploiting all useful information a standing challenge.  It has recently a wide range of applications in E-commerce web site and E-services such as building interactive marketing strategies, Web recommendation and Web personalization.  Web usage mining is the process of extracting useful usage patterns from the web data. Web personalization uses web usage mining technique for the process of knowledge acquisition done by analysing the user navigational patterns interest. Nowadays, the Web is an important source of information retrieval, and the users accessing the Web are from different backgrounds. The usage information about users is recorded in web logs. Analysing web log files to extract useful patterns is called Web Usage Mining. Web usage mining approaches include clustering, association rule mining, sequential pattern mining etc. This article provides a survey of the available literature on Web usage mining and reviews the research and application issues in web usage mining.


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A Review on Clustering Techniques used in Web Usage Mining

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