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User Behavior Analysis from Web Log using Log Analyzer Tool

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Author(s): Brijesh Bakariya | Ghanshyam Singh Thakur

Journal: International Journal of Computer Science and Network Solutions
ISSN 2345-3397

Volume: 1;
Issue: 3;
Start page: 41;
Date: 2013;
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Keywords: Web Usage Mining | Preprocessing | Ontology | Web Log Analyzer | Web Log

ABSTRACT
Now a day, internet plays a role of huge database in which many websites, information and search engines are available. But due to unstructured and semi-structured data in webpage, it has become a challenging task to extract relevant information. Its main reason is that traditional knowledge based technique are not correct to efficiently utilization the knowledge, because it consist of many discover pattern, contains a lots of noise and uncertainty. In this paper, analyzing of web usage mining has been made with the help if web log data for which web log analyzer tool, “Deep Log Analyzer” to find out abstract information from particular server and also tried to find out the user behavior and also developed an ontology which consist the relation among efficient web apart of web usage mining.
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