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» Indexing Large Trajectory Data Sets With SETI
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CIDR
2003
218views Algorithms» more  CIDR 2003»
13 years 6 months ago
Indexing Large Trajectory Data Sets With SETI
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....
V. Prasad Chakka, Adam Everspaugh, Jignesh M. Pate...
ICDE
2010
IEEE
491views Database» more  ICDE 2010»
14 years 4 months ago
TrajStore: An Adaptive Storage System for Very Large Trajectory Data Sets
The rise of GPS and broadband-speed wireless devices has led to tremendous excitement about a range of applications broadly characterized as "location based services". Cu...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...
DASFAA
2009
IEEE
115views Database» more  DASFAA 2009»
13 years 11 months ago
TRUSTER: TRajectory Data Processing on ClUSTERs
With the continued advancements in location-based services involved infrastructures, large amount of time-based location data are quickly accumulated. Distributed processing techni...
Bin Yang 0002, Qiang Ma, Weining Qian, Aoying Zhou
CIKM
2009
Springer
13 years 9 months ago
Query processing of massive trajectory data based on mapreduce
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
Qiang Ma, Bin Yang 0002, Weining Qian, Aoying Zhou
ICDE
2011
IEEE
233views Database» more  ICDE 2011»
12 years 8 months ago
Answering approximate string queries on large data sets using external memory
— An approximate string query is to find from a collection of strings those that are similar to a given query string. Answering such queries is important in many applications su...
Alexander Behm, Chen Li, Michael J. Carey