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» Approximate Join Processing Over Data Streams
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ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
14 years 15 days ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
SIGMOD
2003
ACM
158views Database» more  SIGMOD 2003»
14 years 8 months ago
Processing Set Expressions over Continuous Update Streams
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. In ...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
IJWIS
2007
181views more  IJWIS 2007»
13 years 8 months ago
Answering queries over incomplete data stream histories
Streams of data often originate from many distributed sources. A distributed stream processing system publishes such streams of data and enables queries over the streams. This allo...
Alasdair J. G. Gray, Werner Nutt, M. Howard Willia...
EDBT
2009
ACM
173views Database» more  EDBT 2009»
14 years 1 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...
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
14 years 10 months ago
A Load Shedding Framework and Optimizations for M-way Windowed Stream Joins
Tuple dropping, though commonly used for load shedding in most stream operations, is inadequate for m-way, windowed stream joins. The join output rate can be overly reduced becaus...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu