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- W2377020293 abstract "Web user clustering is one of the most important technologies to develop the adaptive site and to provide individualized information service.A new hybrid algorithm based on differential evolution and fuzzy c-mean algorithm is proposed to solve the problem of web user clustering.In the new algorithm,the fitness function is improved and the local search strategy is applied to enhance the ability of finding optimal solution.In order to accelerate the convergence,the FCM optimizing operation is utilized.Experimental results reveal that the proposed algorithm has strong capability of global search and can get the satisfactory performance in user clustering." @default.
- W2377020293 created "2016-06-24" @default.
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- W2377020293 date "2011-01-01" @default.
- W2377020293 modified "2023-09-24" @default.
- W2377020293 title "A DE-based Clustering Algorithm for Solving Web User Clustering" @default.
- W2377020293 hasPublicationYear "2011" @default.
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