Date Added: Aug 2012
In today's internet world mainly focuses on the definition and identification of "Web user-sessions". The classification of a user-session is not trivial, because several users has connected to web for performing various tasks. Conventional approaches rely on threshold based mechanisms. However, the mechanisms used previously are very sensitive to the value chosen for the threshold, which may be not easy to set correctly. Here, the authors applying Density based clustering technique, to define a methodology for identifying genuine Web user-sessions.