Indexing Large Trajectory Data Sets With SETI (2003) [29 citations — 1 self]
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by
V. Prasad Chakka
,
V. Prasad
,
Chakka Adam
,
Adam C. Everspaugh
,
Jignesh M. Patel
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@MISC{Chakka03indexinglarge,
author = {V. Prasad Chakka and V. Prasad and Chakka Adam and Adam C. Everspaugh and Jignesh M. Patel},
title = {Indexing Large Trajectory Data Sets With SETI},
year = {2003}
}
author = {V. Prasad Chakka and V. Prasad and Chakka Adam and Adam C. Everspaugh and Jignesh M. Patel},
title = {Indexing Large Trajectory Data Sets With SETI},
year = {2003}
}
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Abstract:
With the rapid increase in the use of inexpensive, location-aware sensors in a variety of new applications, large amounts of time-sequenced location data will soon be accumulated. Efficient indexing techniques for managing these large volumes of trajectory data sets are urgently needed. The key requirements for a good trajectory indexing technique is that it must support both searches and inserts efficiently.
