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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(5): 412-415 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.900

An Effective Preprocessing Method for Web Usage Mining

K. Sudheer Reddy, G. Partha Saradhi Varma, and M. Kantha Reddy
Abstract—Web usage mining (WUM) is one of the categories of data mining technique that identifies usage patterns of the web data, so as to perceive and better serve the requirements of the web applications. The working of WUM involves three steps – preprocessing, pattern discovery and analysis. The first step in WUM - Preprocessing of data is an essential activity which will help to improve the quality of the data and successively the mining results. This research paper studies and presents several data preparation techniques of access stream even before the mining process can be started and these are used to improve the performance of the data preprocessing to identify the unique sessions and unique users. The methods proposed will help to discover meaningful pattern and relationships from the access stream of the user and these are proved to be valid and useful by various research tests. We have concluded this paper by proposing the future research directions.

Index Terms—Web usage mining, data preprocessing, weblog, user session, path completion.

K. Sudheer Reddy is with the Dept. of Computer Science & Engineering of Acharya Nagarjuna University, Guntur, AP, India (e-mail: sudheercse@gmail.com).
G. P. Saradhi Varma is with the Dept. of Information Technology, SRKR Engineering College, Bhimavaram, AP, India. Kantha Reddy is with Indo US Collaboration for Engineering Education (IUCEE), UML, Lowell, USA.


Cite:K. Sudheer Reddy, G. Partha Saradhi Varma, and M. Kantha Reddy, "An Effective Preprocessing Method for Web Usage Mining," International Journal of Computer Theory and Engineering vol. 6, no. 5, pp. 412-415, 2014.

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