Authors: Hannah Inbarani, K. Thangavel
Addresses: Department of Computer Science, Periyar University, SALEM-636 011, India. ' Department of Computer Science, Periyar University, SALEM-636 011, India
Abstract: With the dramatically quick and explosive growth of information available over the internet, World Wide Web has become a powerful platform to store, disseminate and retrieve information as well as mine useful knowledge. Web usage mining addresses the application of data mining techniques over web data in order to identify and characterise users| navigation behaviour patterns. The wide spectrum of uncertainties involved in the web navigation process can be modelled and handled using fuzzy set theory. Fuzzy web intelligent techniques are used in this paper to deal with uncertainty in web navigation patterns and for uncovering web user communities. Intelligent fuzzy clustering algorithm (IFC) is proposed in this work and the performance of IFC is compared with popular fuzzy C-means algorithm (FCM) and functional fuzzy C-means (FFCM) algorithm.
Keywords: web usage mining; fuzzy clustering; user profiles; web user clustering; web page clustering; fuzzy web intelligence; web based communities; online communities; virtual communities; data mining; fuzzy logic; web navigation patterns.
International Journal of Web Based Communities, 2011 Vol.7 No.3, pp.357 - 375
Published online: 13 Jul 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article