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» Indexing the Positions of Continuously Moving Objects
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ICDE
2007
IEEE
131views Database» more  ICDE 2007»
14 years 1 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
SSD
2005
Springer
185views Database» more  SSD 2005»
14 years 1 months ago
Evaluation of a Dynamic Tree Structure for Indexing Query Regions on Streaming Geospatial Data
Most recent research on querying and managing data streams has concentrated on traditional data models where the data come in the form of tuples or XML data. Complex types of strea...
Quinn Hart, Michael Gertz, Jie Zhang
CIKM
2009
Springer
14 years 8 days 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
IS
2007
13 years 7 months ago
Evaluation of probabilistic queries over imprecise data in constantly-evolving environments
Sensors are often employed to monitor continuously changing entities like locations of moving objects and temperature. The sensor readings are reported to a database system, and a...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 2 months ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...