ANALYSIS OF WEB USAGE MINING BASED ON WEB LOG PARTITION

ANALYSIS OF WEB USAGE MINING BASED ON WEB LOG PARTITION
Author(s):
B HARIKA, THATIMAKULA SUDHA, Rajeswari Sana
Keywords:
Web Mining, Web usage, Mining, Clustering, Algorithm
Abstract
The Internet has accrued a great deal of consumer interest. The main applications of web mining are to maintain good ties with customers. Web usage mining is the method of extracting useful knowledge from web logs. This helps to boost the efficiency of the website by evaluating the interest of the customer, and also increases business profitability. Web Use Mining's main aim is to research the navigation habits of the users and their use of web tools. Mining of site use is used to monitor user behaviour. Such documents are also used for data extraction that helps optimize the search engine. We suggest an approach in this research work, in which web logs are used in cluster types. Such clusters are built in Web logs according to records of user behaviour.Therefore, if we search from these clusters instead of the full web log, the search time will be reduced.
Article Details
Unique Paper ID: 149324 Publication Volume & Issue: Volume 6, Issue 11 Page(s): 649 - 654
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