Neuro-Fuzzy Based Hybrid Model for Web Usage Mining

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

doi:10.1016/j.procs.2015.06.038

Neuro-Fuzzy Based Hybrid Model for Web Usage Mining

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

^*Corresponding author for this work

School of Computer Engineering

Research output: Contribution to journal › Article › peer-review

13 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 language	English
Pages (from-to)	327-334
Number of pages	8
Journal	Procedia Computer Science
Volume	54
DOIs	https://doi.org/10.1016/j.procs.2015.06.038
Publication status	Published - 2015
Event	11th International Conference on Communication Networks, ICCN 2015 - Bangalore, India Duration: 21-08-2015 → 23-08-2015

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1016/j.procs.2015.06.038

Cite this

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title = "Neuro-Fuzzy Based Hybrid Model for Web Usage Mining",

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.",

author = "G. Shivaprasad and Reddy, \{N. V Subba\} and Acharya, \{U. Dinesh\} and Aithal, \{Prakash K.\}",

note = "Publisher Copyright: {\textcopyright} 2015 The Authors.; 11th International Conference on Communication Networks, ICCN 2015 ; Conference date: 21-08-2015 Through 23-08-2015",

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T1 - Neuro-Fuzzy Based Hybrid Model for Web Usage Mining

AU - Shivaprasad, G.

AU - Reddy, N. V Subba

AU - Acharya, U. Dinesh

AU - Aithal, Prakash K.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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M3 - Article

AN - SCOPUS:84944032814

SN - 1877-0509

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JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 11th International Conference on Communication Networks, ICCN 2015

Y2 - 21 August 2015 through 23 August 2015

ER -

Neuro-Fuzzy Based Hybrid Model for Web Usage Mining

Abstract

All Science Journal Classification (ASJC) codes

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