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Web Portal Visits Patterns Predicted by Intuitionistic Fuzzy Approach
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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- Cooley R, Mobasher B et al. (1997). Web mining: information and pattern discovery on the world wide web, Proceedings of the 9th IEEE International Conference on Tools With Artificial Intelligence, (ICTAI ’97), Newport Beach, CA.
- Zaine O, and Han J (1998). WebML: Querying the world wide web for resources and knowledge, Proceedings of the International workshop on web information and data management, WIDM´98, Bethesda.
- Kuncheva L I (2000). Fuzzy classifier design, A Springer Verlag Company, Germany.
- Bandemer H, and Gottwald S (1995). Fuzzy sets fuzzy logic, fuzzy methods, John Wiley and Sons Inc., New York.
- Olej V (2003). Modeling of economics processes by computational intelligence, Hradec Kralove, (in Slovak).
- Trešl J (1999). Statistical methods and capital market, 1st edition, Prague, (in Czech).
- Montiel O et al. (2008). Mediative fuzzy logic: A new approach for contradictory knowledge management, Soft Computing, vol 20, No.3, 251–256.
- Guillaume S (2001). Designing fuzzy inference systems from Data: An Interpretability-oriented review, IEEE Transactions on Fuzzy Systems, vol 9, 426–442.
- Available From: http://www.wseas.us/e-library/transactions/computers/2010/88-321.pdf
- Fuzzy Logic Toolbox™ User’s Guide© Copyright 1995–2012, The Math Works, Inc.
- Available From: http://archive.ics.uci.edu/ml/datasets/MSNBC.com+Anonymous+Web+Data.
- Availbale From: http://www.mathworks.in/help/matlab/ref/ sparse.html
- Kumaravel A, and Pradeepa R (2012). On constructing regular expression of web page traversals for efficient filtering, IEEE Conference Publications, 156-160.
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