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Titlebook: Agents and Data Mining Interaction; 8th International Wo Longbing Cao,Yifeng Zeng,Munindar P Singh Conference proceedings 2013 Springer-Ver

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KNN-Based Clustering for Improving Social Recommender Systems selection of tags for clusters has an impact on the accuracy. In this paper we propose a KNN based approach for ranking tag neighbors for tag selection. We study the approach in comparison to several baselines by using two datasets in different domains. We show, that in both cases the approach outperforms the compared approaches.
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Agent-Mining of Grid Log-Files: A Case Study information from large computer grids, using software agents and genetic computation. A prototype was created as a first step towards communities of agents that will collaborate to learn log-file structures and exchange knowledge across organizational domains.
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Economic Growth and Cultural Background. Furthermore, based on the cache cluster, transmission planning is designed based on the agent collaboration and reasoning. The experimental evaluations demonstrate the capability of the proposed approach.
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Culture, Faith, and Philanthropyer with reasoning techniques which are embodied in specific ontology agent. Apart from a simple computational MAS scenario, other configurations such as pre-processing, meta-learning, or ensemble methods are dealt with.
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