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IPPS
2005
IEEE
14 years 1 months ago
A Parallel Algorithm for Correlating Event Streams
This paper describes a parallel algorithm for correlating or “fusing” streams of data from sensors and other sources of information. The algorithm is useful for applications w...
Daniel M. Zimmerman, K. Mani Chandy
CIKM
2008
Springer
13 years 9 months ago
Efficient frequent pattern mining over data streams
This paper proposes a prefix-tree structure, called CPS-tree (Compact Pattern Stream tree) that efficiently discovers the exact set of recent frequent patterns from high-speed dat...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
14 years 7 months ago
Holistic UDAFs at streaming speeds
Many algorithms have been proposed to approximate holistic aggregates, such as quantiles and heavy hitters, over data streams. However, little work has been done to explore what t...
Graham Cormode, Theodore Johnson, Flip Korn, S. Mu...
CIKM
2010
Springer
13 years 6 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
BTW
2005
Springer
127views Database» more  BTW 2005»
13 years 9 months ago
Towards Reliable Data Stream Processing with OSIRIS-SE
: Recent advances in sensor technologies, wireless communication, powerful mobile devices, and wearable computers strongly support novel types of applications. Especially in health...
Gert Brettlecker, Heiko Schuldt, Hans-Jörg Sc...