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Titlebook: Computer and Information Sciences II; 26th International S Erol Gelenbe,Ricardo Lent,Georgia Sakellari Conference proceedings 2012 Springer

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https://doi.org/10.1007/978-3-031-38226-0ts show that it is possible to obtain highly accurate classifications in terms of poet and time period. By using statistical analysis we are able to recommend which style marker and machine learning method are to be used in future studies.
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https://doi.org/10.1007/978-3-642-81028-2nsumption using our simulation model on PeerSim and compare push–pull method of ProFID with the well-known push-based gossiping approach. Based on the analysis results, we reformulate the upper bound for the peer’s energy cost.
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https://doi.org/10.1057/9780230512030search is far from satisfying all information needs, because many search queries are complex, require information integration, and go beyond what can be offered by a single Web page; on these queries, generalized search engines do not perform well enough. This paper addresses a new paradigm for sear
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Summary, Conclusions and Recommendations,littable Data Dissemination Problem (RTU/DDP), which is a generalization of the unsplittable flow problem (UFP). RTU/DDP problem is NP-hard. Therefore, heuristic approaches are required to acquire . solutions to the problem. The problem is divided into two sub-problems: path selection and request pa
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