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This paper presents a fuzzy approach to efficiently crawling topic related web pages using reinforcement learning and fuzzy clustering theory. The approach, FOA, takes the delayed reward into account and subsequently labels newly crawled web pages online. To minimize the bad effect of the naive Bayes classifiers, we adopt the fuzzy center-averaged clustering method to label crawled web pages, and...
Because of the open policy, the competition is much severe in mobile communications industry in China. Facing the large number of mobile users and huge amount of business operation data, mobile communications companies turn to data mining techniques to analyze customers in order to gain competence advantage. In this paper, we propose a customer ranking authority-hub algorithm (CRAHA), which measures...
The process of Web document classification involves calculating similarities between documents and categories by using the information extracted from them. In recent years, ontology-based Web documents classification method is introduced to solve the problem of classifier training and not considering semantic relations between words in traditional machine learning algorithms. However, previous works...
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