Exploring Behavior of Visitors Activity at Granular Level from Web Log Data using Deep Log Analyzer
Published: 2016
Author(s) Name: Vinod Kumar, Ramjeevan Singh Thakur |
Author(s) Affiliation: Dept of Comp Application, Maulana Azad National Inst of Technology Bhopal, Madhya Pradesh, India
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Abstract
The World Wide Web has changed the world of
information that people used to look back few decades before. Website has become the significant point of communication for business, government organization and other type of organizations to increase the business horizon and providing the effective service by
the government to the people. The knowledge of user or visitor behavior plays the significant role for policy makers in going ahead. The user behavior or activity can be analyzed from web log data using the web analyzing tools. This paper covers the web log data analysis to determine visitors behavior using the deep
analyzer tool.
Keywords: WWW, Web Mining, Web Usage Mining, Deep Log Analyzer, Web Log Data Sets
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