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Titlebook: Quality of Context; First International Kurt Rothermel,Dieter Fritsch,Frank Dürr Conference proceedings 2009 Springer-Verlag Berlin Heidel

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Querying and Cleaning Uncertain Datac queries (e.g., range query and nearest-neighbor query). We further study how probabilistic queries can be efficiently evaluated and indexed. We also highlight the issue of removing uncertainty under a stringent cleaning budget, with an attempt of generating high-quality probabilistic answers.
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Spatial Embedding and Spatial Context. We thus need an adjacency model for 3D space, allowing queries concerning adjacency, access, etc. to be handled directly from the data structure, exactly as described for 2D space. We will show our recent results to handle this problem. We claim that an appropriate adjacency model greatly simplifi
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A Probabilistic Filter Protocol for Continuous Queriesreduces the cost of transmitting location updates, and hence the energy spent by the GPS devices. It also allows some portion of query processing to be deployed to the devices, thereby alleviating the processing burden of the server.
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Reynold Chengt of crowding on survival rates and use of resources, as well as its effect on sexual or asexual patterns of reproduction. I expect that the study of the evolutionary consequences of the combined presence of alternation of generations and clonal growth in marine macroalgae will make important contri
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