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Inventi Rapid - Artificial Intelligence

Articles

  • Inventi:eai/18615/16
    A REPRESENTATION OF TREE STRUCTURE WEB LOG AND MINING
    Nitin Khachane*, Pritam Gohatre

    Recent approaches in web log data representation aim to capture the user navigational patterns with respect to the overall structure of the web site. One such representation is tree-structured log files which is the focus of this work. Most existing methods for analyzing such data are based on the use of frequent sub tree mining techniques to extract frequent user activity and navigational paths. In this paper we evaluate the use of other standard data mining techniques enabled by a recently proposed structure preserving flat data representation for tree-structured data. The initially proposed framework was adjusted to better suit the web log mining task. Experimental evaluation is performed on two real world web log datasets and comparisons are made with an existing state-of-the art classifier for tree-structured data. The results obtain the great potential of the method in enabling the application of a wider range of data mining/analysis techniques to tree-structured web log data.

    How to Cite this Article
    Nitin Khachane, Pritam Gohatre. A Representation of Tree Structure Web Log and Mining. Inventi Rapid: Artificial Intelligence, 2016(2):1-3, 2016.
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