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» Capturing Data Uncertainty in High-Volume Stream Processing
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SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
14 years 7 months ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...
SSDBM
2008
IEEE
150views Database» more  SSDBM 2008»
14 years 1 months ago
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
FLAIRS
2003
13 years 8 months ago
Using Bayesian Networks for Cleansing Trauma Data
Medical data is unique due to its large volume, heterogeneity and complexity. This necessitates costly active participation of medical domain experts in the task of cleansing medi...
Prashant Doshi, Lloyd Greenwald, John R. Clarke
JUCS
2010
164views more  JUCS 2010»
13 years 5 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung
ICIP
2010
IEEE
13 years 5 months ago
Automatic production of personalized basketball video summaries from multi-sensored data
We propose a flexible framework for producing highly personalized basketball video summaries, by intergrating contextural information, narrative user preferences on story pattern,...
Fan Chen, Christophe De Vleeschouwer