Neuro-Fuzzy Based Hybrid Model for Web Usage Mining

G. Shivaprasad, N. V Subba Reddy, U. Dinesh Acharya, Prakash K. Aithal

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Web Usage mining consists of three main steps: Pre-processing, Knowledge Discovery and Pattern Analysis. The information gained from the analysis can then be used by the website administrators for efficient administration and personalization of their websites and thus the specific needs of specific communities of users can be fulfilled and profit can be increased. Also, Web Usage Mining uncovers the hidden patterns underlying the Web Log Data. These patterns represent user browsing behaviours which can be employed in detecting deviations in user browsing behaviour in web based banking and other applications where data privacy and security is of utmost importance. Proposed work pre-process, discovers and analyses the Web Log Data of Dr. T.M.A.PAI polytechnic website. A neuro-fuzzy based hybrid model is employed for Knowledge Discovery from web logs.

Original languageEnglish
Pages (from-to)327-334
Number of pages8
JournalProcedia Computer Science
Volume54
DOIs
Publication statusPublished - 2015

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Websites
Data mining
Polyamideimides
Data privacy
Security of data
World Wide Web
Profitability
Processing

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

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Neuro-Fuzzy Based Hybrid Model for Web Usage Mining. / Shivaprasad, G.; Reddy, N. V Subba; Acharya, U. Dinesh; Aithal, Prakash K.

In: Procedia Computer Science, Vol. 54, 2015, p. 327-334.

Research output: Contribution to journalArticle

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