چکیده انگلیسی مقاله : Abstract: One must have a prior knowledge about the optimal number of clusters in a data set before clustering. Without having information regarding the exact nature of the underlying data distribution, the determination of optimal number of clusters in an unlabeled data set is not an easy task. Genetic algorithms (GAs) is known as a randomized search and optimization technique guided by the principles of evolution and natural genet ...
چکیده انگلیسی مقاله : Abstract: In this paper, we extend on previous work in order to address the problem of multimedia personalization at a semantic level. In different previous works, we have developed algorithms to address computationally efficient handling of large but sparse fuzzy relations, and theory to address knowledge representation, thematic categorization and user modeling. In this work we take two further steps: i) we integrate ontologies i ...