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ICDCS
2007
IEEE
13 years 11 months ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal
ICDE
2005
IEEE
135views Database» more  ICDE 2005»
14 years 9 months ago
Finding (Recently) Frequent Items in Distributed Data Streams
We consider the problem of maintaining frequency counts for items occurring frequently in the union of multiple distributed data streams. Na?ive methods of combining approximate f...
Amit Manjhi, Vladislav Shkapenyuk, Kedar Dhamdhere...
EDBT
2009
ACM
104views Database» more  EDBT 2009»
14 years 2 months ago
A query processor for prediction-based monitoring of data streams
Networks of sensors are used in many different fields, from industrial applications to surveillance applications. A common feature of these applications is the necessity of a mo...
Sergio Ilarri, Ouri Wolfson, Eduardo Mena, Arantza...
CIKM
2006
Springer
13 years 9 months ago
Efficient range-constrained similarity search on wavelet synopses over multiple streams
Due to the resource limitation in the data stream environment, it has been reported that answering user queries according to the wavelet synopsis of a stream is an essential abili...
Hao-Ping Hung, Ming-Syan Chen
CLOUD
2010
ACM
14 years 24 days ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...