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» Evaluating Probabilistic Queries over Imprecise Data
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IS
2007
13 years 6 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...
SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
14 years 7 months ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
ICDE
2007
IEEE
158views Database» more  ICDE 2007»
14 years 8 months ago
Efficient Evaluation of Imprecise Location-Dependent Queries
In location-based services, it is common for a user to issue a query based on his/her current position. One such example is "find the available cabs within two miles of my cu...
Jinchuan Chen, Reynold Cheng
EDBT
2009
ACM
207views Database» more  EDBT 2009»
13 years 10 months ago
Evaluating probability threshold k-nearest-neighbor queries over uncertain data
In emerging applications such as location-based services, sensor monitoring and biological management systems, the values of the database items are naturally imprecise. For these ...
Reynold Cheng, Lei Chen 0002, Jinchuan Chen, Xike ...
DEXA
2003
Springer
149views Database» more  DEXA 2003»
14 years 15 hour ago
Capturing Uncertainty in Spatial Queries over Imprecise Data
Emerging applications using miniature electronic devices (e.g., tracking mobile objects using sensors) generate very large amounts of highly dynamic data that poses very high overh...
Xingbo Yu, Sharad Mehrotra