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Fuzzy Cognitive Maps application for Webmining

This work examines and proposes a new method for web mining inference based on Fuzzy Cognitive Maps. The web mining inference and knowledge extraction consists of two phases. At the first phase the a priori algorithm is used for web mining and a collection of Association rules is inferred. In the second phase, the set of Association Rules is transformed into a Fuzzy Cognitive Map (FCM). It investigates a new methodology for developing Fuzzy Cognitive Maps so that they can be suitable for web mining inference.