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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/39699
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/39699

    Title: Processing Probabilistic Spatio-Temporal Range Queries over Moving Objects with Uncertainty
    Authors: 陳良弼
    Chen, Arbee L.P.
    Contributors: 國立政治大學資訊科學系
    Date: 2009
    Issue Date: 2010-05-27 16:48:49 (UTC+8)
    Abstract: Range queries for querying the current and future positions of the moving objects have received growing interests in the research community. Existing methods, however, assume that an object only moves along an anticipated path. In this paper, we study the problem of answering probabilistic range queries on moving objects based on an uncertainty model, which captures the possible movements of objects with probabilities. Evaluation of probabilistic queries is challenging due to large objects volume and costly computation. We map the uncertain movements of all objects to a dual space for indexing. By querying the index, we quickly eliminate unqualified objects and employ an approximate approach to examine the remaining candidates for final answer. We conduct a comprehensive performance study, which shows our proposal significantly reduces the number of object examinations and the overall cost of the query evaluation.
    Relation: International Conference on Extending Database Technologies
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1145/1516360.1516369
    DOI: 10.1145/1516360.1516369
    Appears in Collections:[資訊科學系] 會議論文

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