Web mining: a survey in the fuzzy framework

Abstract

This article provides a survey of the available literature on fuzzy Web mining. The different aspects of Web mining, like clustering, association rule mining, navigation, personalization, Semantic Web, information retrieval, text and image mining are considered under the existing taxonomy. The role of fuzzy sets in handling the different types of uncertainties/impreciseness is highlighted. A hybridization of fuzzy sets with genetic algorithms (another soft computing tool) is described for information retrieval. An extensive bibliography is also included.