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» Capturing Data Uncertainty in High-Volume Stream Processing
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114
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DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
15 years 3 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
206
Voted
SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
16 years 2 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
142
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
89
Voted
ICMCS
2006
IEEE
125views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Modeling Adaptive Media Processing Workflows
ARIA, ARchitecture for Interactive Arts, is a middleware to process, filter, and fuse sensory inputs and actuate responses in real-time. An ARIA media processing workflow descri...
K. Selçuk Candan, Gisik Kwon, Lina Peng, Ma...
140
Voted
DMSN
2007
ACM
15 years 6 months ago
Declarative temporal data models for sensor-driven query processing
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Yanif Ahmad, Ugur Çetintemel