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» Capturing Data Uncertainty in High-Volume Stream Processing
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ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
13 years 8 months ago
Granularity Conscious Modeling for Probabilistic Databases
The convergence of embedded sensor systems and stream query processing suggests an important role for database techniques, in managing data that only partially – and often inacc...
Eirinaios Michelakis, Daisy Zhe Wang, Minos N. Gar...
SIGMOD
2003
ACM
161views Database» more  SIGMOD 2003»
14 years 2 months ago
Approximate Join Processing Over Data Streams
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
EDBT
2009
ACM
173views Database» more  EDBT 2009»
13 years 7 months ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...
SIGMOD
2010
ACM
259views Database» more  SIGMOD 2010»
13 years 7 months ago
PODS: a new model and processing algorithms for uncertain data streams
Uncertain data streams, where data is incomplete, imprecise, and even misleading, have been observed in many environments. Feeding such data streams to existing stream systems pro...
Thanh T. L. Tran, Liping Peng, Boduo Li, Yanlei Di...
CVDB
2005
ACM
13 years 4 months ago
A live multimedia stream querying system
Querying live media streams captured by various sensors is becoming a challenging problem, due to the data heterogeneity and the lack of a unifying data model capable of accessing...
Bin Liu, Amarnath Gupta, Ramesh Jain