A Graph-Based Approach for Discovering and Mining Evolving usage Patterns

  IJPTT-book-cover
 
International Journal of P2P Network Trends and Technology (IJPTT)          
 
© 2017 by IJPTT Journal
Volume - 7 Issue - 1
Year of Publication : 2017
Authors : M.Sree Vani

MLA

M.Sree Vani "A Graph-Based Approach for Discovering and Mining Evolving usage Patterns". International Journal of P2P Network Trends and Technology (IJPTT), V7(1):28-31 Jan - Feb 2017, ISSN:2249-2615, www.ijpttjournal.org, Published by Seventh Sense Research Group.

Abstract

By monitoring web user’s browsing behavior, we can discover reliable knowledge about user’s general preferences and needs i.e. web usage patterns. Web usage patterns can help us to understand the different modes of usage and to know what kind of information the visitors seek and read on the web site and hoe this information evolves with time. Web usage pattern can be discovered based on browsing features using web usage mining techniques. Mining web usage patterns from web log files helps in making strong recommendations for how to retain and increase the visitors. In this paper, we present an efficient Graph based approach for discovering and mining evolving usage patterns from web log files. We perform clustering of the user sessions extracted from web logs to partition the users into several homogeneous groups with similar activities and then extract usage patterns from each cluster. We construct usage pattern graph to discover the common interest in each group of users. Usage pattern graphs are constructed for subsequent new periods of web logging to discover changes in the user’s interest.

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Keywords
Web usage mining, Usage Patterns, Clustering, Evolving usage patterns, usage pattern graph.