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Abstract
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Article Information:
An Heighten PSO-K-harmonic Mean Based Pattern Recognition in User Navigation
R. Gobinath and M. Hemalatha
Corresponding Author: R. Gobinath
Submitted: September 28, 2013
Accepted: October 14, 2013
Published: February 20, 2014 |
Abstract:
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The website navigation patterns can be searched and analyzed with the introduction of the new methodology. The user navigation path is stored as a sequence of URL categories in web server. The approaches followed are to separate the users and sessions from the web log files and acquiring the necessary patterns for web personalization. The clustering concept is used for grouping the necessary patterns in separate groups. The approaches used for clustering of navigation patterns are done with improvised particle swarm optimization technique which divides users depends on the order in which they request web pages. This approach mines the web log files which are resultant from the web users while interacting with web pages for a particular period of web sessions. The work carried with an optimized method of particle swarm optimization-K-Harmonic means to cluster the similar users based on their navigation pattern. Particle swarm optimization-K-Harmonic method is used to discover or extract user’s navigational patterns from web log files.
Key words: K-harmonic means, particle swarm optimization, web mining, , , ,
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Cite this Reference:
R. Gobinath and M. Hemalatha, . An Heighten PSO-K-harmonic Mean Based Pattern Recognition in User Navigation. Research Journal of Applied Sciences, Engineering and Technology, (7): 1469-1473.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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