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This paper discusses the two important phases, which are data preprocessing and clustering analysis, in Web transactions clustering analysis, in order to gain an easily interpreted clustering result, we introduce the "Concept URL" in the data preprocessing phase; In the clustering analysis phase, A model of artificial ant is set up. Based on this model, we implement an ant-colony clustering...
The classification of network users is very important in user behavior analysis. The algorithm which was based entropy and latent Dirichlet allocation (LDA) was used in this paper. It is important but difficult to select an appropriate number of topics for a specific dataset. Entropy was first used to solve the problem. A concept named difference-entropy was built to determine the number of topics...
In this paper we explore the use of weights in the generation of fuzzy models. We automatically generate a fuzzy model, using a three-stage methodology: (i) generation of a crisp model from a decision tree, induced from the data, (ii) transformation of the crisp model into a fuzzy one, and (iii) optimization of the fuzzy modelpsilas parameters. Based on this methodology, the generated fuzzy model...
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