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A new clustering method, RVPSO-K was proposed in this paper based on the random research combining K-means and PSO according to the character of the clustering of Web usage pattern and the disadvantages of particle swarm optimization. The searching ability of the individual particle was enhanced by change the flying trajectory of the particle, hence, the optimum would be found in a relatively short...
In the personalized recommendation systems, which are based on Web usage mining, association-mining technology was applied to predict user-browsing behavior and this method has gained much attention. However, the resulting association patterns did not perform well in predicting future browsing patterns. The paper carried a research on the most popular method of data preprocess, then the dividing historical...
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