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General Information
    • ISSN: 2010-3719
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2013 Vol.3(2): 196-199 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2013.V3.297

Preprocessing: A Prerequisite for Discovering Patterns in Web Usage Mining Process

Ramya C., Shreedhara K. S., and Kavitha G.

Abstract—Web log data is usually diverse and voluminous. This data must be assembled into a consistent, integrated and comprehensive view, in order to be used for pattern discovery. Without properly cleaning, transforming and structuring the data prior to the analysis, one cannot expect to find meaningful patterns. As in most data mining applications, data preprocessing involves removing and filtering redundant and irrelevant data, removing noise, transforming and resolving any inconsistencies. In this paper, a complete preprocessing methodology having merging, data cleaning, user/session identification and data formatting and summarization activities to improve the quality of data by reducing the quantity of data has been proposed. To validate the efficiency of the proposed preprocessing methodology, several experiments are conducted and the results show that the proposed methodology reduces the size of Web access log files down to 73-82% of the initial size and offers richer logs that are structured for further stages of Web Usage Mining (WUM). So preprocessing of raw data in this WUM process is the central theme of this paper.

Index Terms—Data preprocessing, user/session identification, web access log file, web log data, web usagemining

The authors are with the Dept. of Studies in CS&E, U. B. D. T College of Engineering, Davangere University, Karnataka, India (e-mail:cramyac@gmail.com, ks_shreedhara@yahoo.com


Cite: Ramya C., Shreedhara K. S., and Kavitha G., "Preprocessing: A Prerequisite for Discovering Patterns in Web Usage Mining Process," International Journal of Information and Electronics Engineering vol. 3, no. 2, pp. 196-199, 2013.

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