… analysis of web data. More specifically, we consider a model-based approach to web mining,
in … study that will help explain the way people interact with a web site. With the exception of …

… data and transaction models for various Web mining tasks such as the discovery of association
rules and sequential patterns from the Web data. We also present a Web mining system, …

… Web mining model for extracting approximate concepts hidden in user profiles on the semantic
Web. The … They are mining association rules, data classification and clustering, and data …

… to web mining to extract knowledge from web documents. However, the most critical problem
with web mining … We tested our proposed research model with structural equation modeling …

… the mining tool architecture are (Figure 4): - Association rules mining: This phase aims to find
association … Association rules are one of the most popular ways of representing discovered …

… and implemented to find association rules between criteria and the category of the web site,
and … The obtained results motivate us to further probe datasets and association rule mining. …

… Web mining is to develop methods and systems for discovering models of objects and
processes on the World Wide Web … In the context of Web Mining, association rule discovery …

… modeling. Concept features are the conceptual generalization of keywords. Association rule
mining is … A modified Naïve Bayes classifier is used in our intention modeling. Experimental …

… First, we combine low-order Markov model and association rules. Markov … including Web
mining. In Web mining context, association rules help optimize the organisation and structure of …

… of their simplicity and ability to model human reasoning.7 Fuzzy set theory (… of FST to various
aspects of Web mining is surveyed. … method for fuzzy association rule mining from Web logs. …