TY - JOUR
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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U2 - 10.1016/j.procs.2015.06.038
DO - 10.1016/j.procs.2015.06.038
M3 - Article
AN - SCOPUS:84944032814
SN - 1877-0509
VL - 54
SP - 327
EP - 334
JO - Procedia Computer Science
JF - Procedia Computer Science
ER -