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» Continuously Maintaining Order Statistics over Data Streams
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ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
14 years 1 months ago
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
SIGMOD
2006
ACM
123views Database» more  SIGMOD 2006»
14 years 7 months ago
Exploiting predicate-window semantics over data streams
The continuous sliding-window query model is used widely in data stream management systems where the focus of a continuous query is limited to a set of the most recent tuples. In ...
Thanaa M. Ghanem, Walid G. Aref, Ahmed K. Elmagarm...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 7 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
EDBTW
2006
Springer
13 years 11 months ago
Window Specification over Data Streams
Several query languages have been proposed for managing data streams in modern monitoring applications. Continuous queries expressed in these languages usually employ windowing con...
Kostas Patroumpas, Timos K. Sellis
ICDE
2007
IEEE
148views Database» more  ICDE 2007»
14 years 9 months ago
Conquering the Divide: Continuous Clustering of Distributed Data Streams
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
Graham Cormode, S. Muthukrishnan, Wei Zhuang