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» Window Update Patterns in Stream Operators
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ADBIS
2009
Springer
127views Database» more  ADBIS 2009»
14 years 5 months ago
Window Update Patterns in Stream Operators
Continuous queries applied over nonterminating data streams usually specify windows in order to obtain an evolving –yet restricted– set of tuples and thus provide timely result...
Kostas Patroumpas, Timos K. Sellis
SIGMOD
2005
ACM
119views Database» more  SIGMOD 2005»
14 years 11 months ago
Update-Pattern-Aware Modeling and Processing of Continuous Queries
A defining characteristic of continuous queries over on-line data streams, possibly bounded by sliding windows, is the potentially infinite and time-evolving nature of their input...
Lukasz Golab, M. Tamer Özsu
CORR
2002
Springer
92views Education» more  CORR 2002»
13 years 11 months ago
When to Update the sequential patterns of stream data?
In this paper, we first define a difference measure between the old and new sequential patterns of stream data, which is proved to be a distance. Then we propose an experimental me...
Qingguo Zheng, Ke Xu, Shilong Ma
IDEAS
2007
IEEE
148views Database» more  IDEAS 2007»
14 years 5 months ago
Adaptive Execution of Stream Window Joins in a Limited Memory Environment
A sliding window join (SWJoin) is becoming an integral operation in every stream data management system. In some streaming applications the increasing volume of streamed data as w...
Fatima Farag, Moustafa A. Hammad
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 5 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010