Indian Journal of Science and Technology
DOI: 10.17485/ijst/2013/v6isp5.4
Year: 2013, Volume: 6, Issue: Supplementary 5, Pages: 1-5
Original Article
A. Kumaravel1* and R. Udayakumar2
1 Professor and Dean, School of Computing, [email protected]
2 Associate Professor, School of Computing Sciences, [email protected]
*Author for correspondence
A. Kumaravel
Professor and Dean, School of Computing,
Email: [email protected]
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.
Keywords: Web Mining, IF- inference System, Web Domain Visits, Fuzzy Logic, Prediction, Sparse Matrix, Moving Averages, Exponential Smoothing.
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