Neuro-Fuzzy Based Hybrid Model for Web Usage Mining

Shivaprasad,, G and Reddy, Subba N V and Acharya, Dinesh U and Aithal, Prakash K (2015) Neuro-Fuzzy Based Hybrid Model for Web Usage Mining. In: Eleventh International Multi-Conference on Information Processing, 21/08/2015, Bengaluru.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Feed forward neural network; Fuzzy C means clustering; User identification; User session identification; Web log data.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 31 Dec 2015 09:49
Last Modified: 31 Dec 2015 09:49
URI: http://eprints.manipal.edu/id/eprint/144976

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