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» Approximate Join Processing Over Data Streams
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IPPS
2005
IEEE
14 years 2 months ago
Evaluation of Rate-Based Adaptivity in Asynchronous Data Stream Joins
Continuous query systems are an intuitive way for users to access streaming data in large-scale scientific applications containing many hundreds of streams. A challenge in these ...
Beth Plale, Nithya N. Vijayakumar

Publication
309views
15 years 8 months ago
SOLE: Scalable On-Line Execution of Continuous Queries on Spatio-temporal Data Streams
This paper presents the Scalable On-Line Execution algorithm (SOLE, for short) for continuous and on-line evaluation of concurrent continuous spatio- temporal queries over data str...
Mohamed F. Mokbel, Walid G. Aref
CIKM
2005
Springer
14 years 2 months ago
Adaptive load shedding for windowed stream joins
We present an adaptive load shedding approach for windowed stream joins. In contrast to the conventional approach of dropping tuples from the input streams, we explore the concept...
Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
CIKM
2006
Springer
14 years 11 days ago
Classification spanning correlated data streams
In many applications, classifiers need to be built based on multiple related data streams. For example, stock streams and news streams are related, where the classification patter...
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Rong She, Jian ...
JCST
2008
175views more  JCST 2008»
13 years 8 months ago
Improved Approximate Detection of Duplicates for Data Streams Over Sliding Windows
Detecting duplicates in data streams is an important problem that has a wide range of applications. In general, precisely detecting duplicates in an unbounded data stream is not fe...
Hong Shen, Yu Zhang