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» Data streams: algorithms and applications
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IPPS
2006
IEEE
14 years 22 days ago
Algorithmic skeletons for stream programming in embedded heterogeneous parallel image processing applications
Algorithmic skeletons can be used to write architecture independent programs, shielding application developers from the details of a parallel implementation. In this paper, we pre...
Wouter Caarls, Pieter P. Jonker, Henk Corporaal
ICDE
2002
IEEE
204views Database» more  ICDE 2002»
14 years 8 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
Sudipto Guha, Nick Koudas
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
13 years 4 months ago
Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
Vit Niennattrakul, Eamonn J. Keogh, Chotirat Ann R...
KAIS
2008
150views more  KAIS 2008»
13 years 6 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
IJCAI
2007
13 years 8 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler