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Web Portal Visits Patterns Predicted by Intuitionistic Fuzzy Approach
Journal Title Indian Journal of Science and Technology
Journal Abbreviation indjst
Publisher Group Informatics (India) Limited (gjeis)
Website http://gjeis.org/index.php/indjst
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Title Web Portal Visits Patterns Predicted by Intuitionistic Fuzzy Approach
Authors Kumaravel, A.; Udayakumar, R.
Abstract Web mining is applied to reflect the importance of webpages and to predict the web domain visits of various users. An IF-inference system is developed for this purpose. This paper presents basic notions of web mining with fuzzy inference systems based on the Takagi-Sugeno fuzzy model. At first, it scans the sequences of visits in database once, finds all the weighted frequent items, and produces a sparse matrix for that sequence item set from which basic statistics like moving averages and exponentially smoothing averages are calculated. Then we construct a IF-inference system using intuitionistic approach for predicting the web domain visits. We obtain the results of such system.
Publisher Indian Society for Education and Environment (ISEE)
Date 2013-05-01
Source Indian Journal of Science and Technology Volume 6, Supplementary 5, May 2013

 

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