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» Creating probabilistic databases from imprecise time-series ...
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IS
2007
13 years 4 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 5 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...
SOFTWARE
2002
13 years 4 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
VLDB
2005
ACM
110views Database» more  VLDB 2005»
13 years 10 months ago
U-DBMS: A Database System for Managing Constantly-Evolving Data
In many systems, sensors are used to acquire information from external environments such as temperature, pressure and locations. Due to continuous changes in these values, and lim...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar
VLDB
2007
ACM
125views Database» more  VLDB 2007»
13 years 11 months ago
Data Integration with Uncertainty
This paper reports our first set of results on managing uncertainty in data integration. We posit that data-integration systems need to handle uncertainty at three levels, and do...
Xin Luna Dong, Alon Y. Halevy, Cong Yu