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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