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» Sampling Algorithms in a Stream Operator
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ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
13 years 5 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
EMSOFT
2011
Springer
12 years 7 months ago
Hard-real-time scheduling of data-dependent tasks in embedded streaming applications
Most of the hard-real-time scheduling theory for multiprocessor systems assumes independent periodic or sporadic tasks. Such a simple task model is not directly applicable to mode...
Mohamed Bamakhrama, Todor Stefanov
ICDE
2008
IEEE
144views Database» more  ICDE 2008»
14 years 9 months ago
Fast and Highly-Available Stream Processing over Wide Area Networks
Abstract-- We present a replication-based approach that realizes both fast and highly-available stream processing over wide area networks. In our approach, multiple operator replic...
Jeong-Hyon Hwang, Stanley B. Zdonik, Ugur Ç...
CIKM
2004
Springer
14 years 1 months ago
Evaluating window joins over punctuated streams
We explore join optimizations in the presence of both timebased constraints (sliding windows) and value-based constraints (punctuations). We present the first join solution named...
Luping Ding, Elke A. Rundensteiner
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 3 days ago
Non-Standard Crossover for a Standard Representation - Commonality-Based Feature Subset Selection
The Commonality-Based Crossover Framework has been presented as a general model for designing problem specific operators. Following this model, the Common Features/Random Sample ...
Stephen Y. Chen, Cesar Guerra-Salcedo, Stephen F. ...