Study And Implementation Of LCS Algorithm For Web Mining
The Internet is the roads and the highways in the information World, the content providers are the road workers, and the visitors are the drivers. As in the real world, there can be traffic jams, wrong signs, blind alleys, and so on. The content providers, as the road workers, need information about their users to make possible Web site adjustments. Web logs store every motion on the provider\'s Web site. So the providers need only a tool to analyze these logs. This tool is called Web Usage Mining. Web Usage Mining is a part of Web Mining. It is the foundation for a Web site analysis. It employs various knowledge discovery methods to gain Web usage patterns. In this paper we used LCS algorithm for improving accuracy of recommendation. The Expremental results show that the approach can improve accuracy of classification in the architecture. Using LCS algorithm we can predict users future request more accurately.
Keywords: Web mining, LCS, Sessionization, Clustering, WUM.
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ABOUT THE AUTHOR
Vrishali P. Sonavane
Vrishali P. Sonavane received a Batchler of Engineering degree from the North Maharashtra University in 2005. She is currently a student of Master Of Engineering degree course in the Department of Computer Engineering at the SSBT’s COET, Jalgaon, North Maharashtra University, Jalgaon.
Vrishali P. Sonavane
Vrishali P. Sonavane received a Batchler of Engineering degree from the North Maharashtra University in 2005. She is currently a student of Master Of Engineering degree course in the Department of Computer Engineering at the SSBT’s COET, Jalgaon, North Maharashtra University, Jalgaon.
