Semantics of Spatially-Aware Windows Over Streaming Moving Objects

Kostas Patroumpas, Timos Sellis
<span title="">2007</span> <i title="Conference and Custom Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4dx63pqjlvhgnpxex7o4qtt2ta" style="color: black;">2007 International Conference on Mobile Data Management</a> </i> &nbsp;
Several window constructs are usually specified in continuous queries over data streams as a means of limiting the amount of data processed each time and thus providing real-time responses. Current research has mostly focused on tackling the temporal volatility of the stream, overlooking other inherent features of incoming items. In this paper, we argue that novel window types, other than strictly temporal, can also prove adequate in providing finite portions of multidimensional streams. We
more &raquo; ... ematically examine the particular case of spatiotemporal streams generated from moving point objects and we introduce a comprehensive classification of window variants useful in expressing the most common operations, such as range or nearestneighbor search. Our investigation also demonstrates that composite windows, combining temporal and spatial properties, can effectively capture the evolving characteristics of trajectories and assist significantly in query specification.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mdm.2007.17">doi:10.1109/mdm.2007.17</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mdm/PatroumpasS07.html">dblp:conf/mdm/PatroumpasS07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ub74aatkezcvxlka5iageleqmm">fatcat:ub74aatkezcvxlka5iageleqmm</a> </span>
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