Titlebook: Advances in Case-Based Reasoning; 8th European Confere Thomas R. Roth-Berghofer,Mehmet H. G?ker,H. Altay Conference proceedings 2006 Sprin

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https://doi.org/10.1007/978-1-4842-9726-1ithms (e.g., information gain) are computationally expensive. We previously showed that, on one dataset, a rough set feature selection algorithm can reduce computational complexity without sacrificing task performance. Here we test the generality of our findings on additional feature selection algor

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彎腰

Getting Started with SharePoint Online,nvolve groups of inter-related users. In this paper we consider the challenges presented by the latter scenario. We introduce a (case-based) group recommender designed to meet these challenges through a variety of recommendation features, including the generation of reactive and proactive suggestion

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Teams and Power Virtual Agents,ystems is to perceive the environment and assess occurring situations, thus allowing systems to behave intelligently. As the ambient intelligence area has been largely technology driven, the abilities of systems to understand their surroundings have largely been ignored. This work demonstrates the f

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Evolving the Default User Experiencee challenges for building the Semantic Web. We have used different techniques to annotate web pages with domain ontologies to facilitate semantic retrieval over the web. Typical similarity matching techniques borrowed from CBR can be applied to retrieve these annotated pages as cases. We compare dif

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https://doi.org/10.1007/11805816Service-oriented Computing; adaptive learning; case-based reasoning; classification; complexity; conversa

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978-3-540-36843-4Springer-Verlag Berlin Heidelberg 2006