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» Efficient Discovery of Confounders in Large Data Sets
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SSDBM
1999
IEEE
140views Database» more  SSDBM 1999»
14 years 1 months ago
An Infrastructure for Scalable Parallel Multidimensional Analysis
Multidimensional Analysis in On-Line Analytical Processing (OLAP), and Scientific and statistical databases (SSDB) use operations requiring summary information on multi-dimensiona...
Sanjay Goil, Alok N. Choudhary
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 3 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
DAWAK
2005
Springer
14 years 2 months ago
Processing Sequential Patterns in Relational Databases
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
Xuequn Shang, Kai-Uwe Sattler
ASWC
2009
Springer
13 years 6 months ago
SHARE: A Semantic Web Query Engine for Bioinformatics
Driven by the goal of automating data analyses in the field of bioinformatics, SHARE (Semantic Health and Research Environment) is a specialized SPARQL engine that resolves queries...
Benjamin P. Vandervalk, E. Luke McCarthy, Mark D. ...
CVPR
2012
IEEE
12 years 2 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or