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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 5 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»
14 years 1 days 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 10 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 9 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