Knowledge Discovery from Web Usage Data: An Efficient Implementation of Web Log Preprocessing Techniques

Shivaprasad,, G and Subbareddy , NV and Acharya, Dinesh U (2015) Knowledge Discovery from Web Usage Data: An Efficient Implementation of Web Log Preprocessing Techniques. International Journal of Computer Applications, 111 (13). ISSN 0975 – 8887

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Abstract

Web Usage Mining (WUM) refers to extraction of knowledge from the web log data by application of data mining techniques. WUM generally consists of Web Log Preprocessing, Web Log Knowledge Discovery and Web Log Pattern Analysis. Web Log Preprocessing is a major and complex task of WUM. Elimination of noise and irrelevant data, thereby reducing the burden on the system leads to efficient discovery of patterns by further stages of WUM. In this paper, Web Log Preprocessing Methods to efficiently identify users and user sessions have been implemented and results have been analyzed.

Item Type: Article
Uncontrolled Keywords: Web Usage Data, Web Log Pre-processing.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 23 Jul 2015 09:52
Last Modified: 23 Jul 2015 09:52
URI: http://eprints.manipal.edu/id/eprint/143495

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