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Phenomenon-Aware Stream Query Processing
2007
2007 International Conference on Mobile Data Management
Spatio-temporal data streams that are generated from mobile stream sources (e.g., mobile sensors) experience similar environmental conditions that result in distinct phenomena. Several research efforts are dedicated to detect and track various phenomena inside a data stream management system (DSMS). In this paper, we use the detected phenomena to reduce the demand on the DSMS resources. The main idea is to let the query processor observe the input data streams at the phenomena level. Then, each
doi:10.1109/mdm.2007.11
dblp:conf/mdm/AliMA07
fatcat:4saac6eebfbi5br2cg4xgkgx5u