A SYSTEMATIC REVIEW ON DATA PREPROCESSING AND PATTERN DISCOVERY OF WEB USAGE MINING
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Abstract
To find valuable knowledge from web data is known as web mining. The growth of World Wide Web exceeded all expectations with the development of internet technology. Rapid growth of World Wide Web has affected a lot of both visitors and web site owners. Retrieving different information in different format has become a very difficult task. To solve this problem, one positive approach is web usage mining (WUM).Web mining that extracts patterns from user weblogs is known as web usage mining, that is an implementation part of data mining. The goal of web usage mining is to understand the behaviour of web site users by processing the data mining of web access data. The success of web usage mining depends upon efficient knowledge extracted from large amount of raw log data. Knowledge obtained from web usage mining does the task of finding the hidden important information about user behaviour, and facilitate more effective browsing, to enhance web design, its page surfing pattern and other valuable information which is used for various purposes. In this paper, we provide detailed review of work done for different phases of web usage mining.
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