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Titlebook: Agents and Data Mining Interaction; 6th International Wo Longbing Cao,Ana L. C. Bazzan,Philip S. Yu Conference proceedings 2010 The Editor(

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Implementing an Open Reference Architecture Based on Web Service Mining for the Integration of Distrased on the ontological framework. On the other hand we show that knowledge derived from web service mining can be used by multi-agent systems in order to provide composite functionalities derived from the distributed web service operations. Moreover, agents are capable to provide personalized servi
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István Hargittai,Aldo Domenicano data; 2) a focus on agent primitives, emphasizing bottom-up emergence of effects, rather than topdown control; and 3) integration of various “theories” of patient care and hospital effectiveness as a method for experimentation with Complex Adaptive Systembased data mining.
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A Review of Coelenterate Laboratory Cultureen Markov models are then employed to determine agent type, predict further agent movement or detect anomalous agents. The method has been evaluated in the maritime domain using ship trajectory data generated by the . maritime traffic simulation.
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Alternative Hedonism: The World by Bicycle,ist of questions addressing both issues, validation and support, for the field of inter-organizational networks and investigate four different kinds of analysis – time series analysis, association rule mining, clustering, and social network analysis – in regard to their potential for providing support.
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SpringerBriefs in Computer Scienceat our technique preserves the solution optimality for some SMDP problems. We evaluate the performance of our method in the Spring game Balanced Annihilation, and provide some benchmarks showing the performance of our approach.
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Culture, Capital and Representationdocument, using keyword features of documents. Experimental results show that together with both textual and latent features LSI can extract the underlying semantic structure of web documents, thus improve the search engine performance significantly.
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A Data Mining Approach to Identify Obligation Norms in Agent Societiesication architecture to identify norms. This paper explains how an agent using this architecture identifies one type of norm, an obligation norm. To this end, the paper proposes an Obligation Norm Inference (ONI) algorithm which makes use of association rule mining approach to identify obligation norms.
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