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» Detecting Inconsistencies in Distributed Data
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FTDCS
2004
IEEE
14 years 19 days ago
Self-Aware Distributed Embedded Systems
Distributed embedded sensor networks are now being successfully deployed in environmental monitoring of natural phenomena as well as for applications in commerce and physical secu...
Richard Pon, Maxim A. Batalin, Mohammad H. Rahimi,...
SAINT
2007
IEEE
14 years 3 months ago
Data Management on Grid Filesystem for Data-Intensive Computing
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Hitoshi Sato, Satoshi Matsuoka
DATAMINE
2008
219views more  DATAMINE 2008»
13 years 9 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
SAS
2007
Springer
126views Formal Methods» more  SAS 2007»
14 years 3 months ago
Hierarchical Pointer Analysis for Distributed Programs
We present a new pointer analysis for use in shared memory programs running on hierarchical parallel machines. The analysis is motivated by the partitioned global address space lan...
Amir Kamil, Katherine A. Yelick
DASFAA
2009
IEEE
118views Database» more  DASFAA 2009»
13 years 10 months ago
Detecting Aggregate Incongruities in XML
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Wynne Hsu, Qiangfeng Peter Lau, Mong-Li Lee