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» Data streams: algorithms and applications
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VLDB
2004
ACM
112views Database» more  VLDB 2004»
14 years 7 months ago
Tracking set-expression cardinalities 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 i...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
ICDE
2012
IEEE
199views Database» more  ICDE 2012»
11 years 9 months ago
Physically Independent Stream Merging
—A facility for merging equivalent data streams can support multiple capabilities in a data stream management system (DSMS), such as query-plan switching and high availability. O...
Badrish Chandramouli, David Maier, Jonathan Goldst...
CIKM
2007
Springer
14 years 28 days ago
Detecting distance-based outliers in streams of data
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
Fabrizio Angiulli, Fabio Fassetti
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 10 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
SSDBM
2007
IEEE
212views Database» more  SSDBM 2007»
14 years 1 months ago
Adaptive-Size Reservoir Sampling over Data Streams
Reservoir sampling is a well-known technique for sequential random sampling over data streams. Conventional reservoir sampling assumes a fixed-size reservoir. There are situation...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...