AN ALL-INCLUSIVE REVIEW ON VARIOUS TECHNIQUES OF WEB USAGE MINING
P. Senthil Pandian, S. Srinivasan, Latha Mathavan · 2014
Numerous users use World Wide Web (WWW) as their default resource for obtaining knowledge and many organization need to empathize their customer’s preference, behavior and future need to improve their business. Web usage mining is a part of web mining and an active research topic. The main goal is to find, model and analyze the behavioral pattern of t he users. The captured patterns are represented as a collection of objects, or as pages, which are frequ ently used or accessed by a set of users having com mon interest. The primary advantages are the extractio n of segmented data from server logs and discover desired usage patterns from the web. The importance of application level data can be highly distinguis hed from web server data via web usage mining. Enormous outstanding techniques have been developed to improve the extraction process. This paper present s a survey of recent methodologies in the field of web usage mining.