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EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 8 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
LCPC
2005
Springer
14 years 2 months ago
Scalable Array SSA and Array Data Flow Analysis
Static Single Assignment (SSA) has been widely accepted as the intermediate program representation of choice in most modern compilers. It allows for a much more efficient data flo...
Silvius Rus, Guobin He, Lawrence Rauchwerger
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 1 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
INFOCOM
2002
IEEE
14 years 1 months ago
Travelling Miser Problem
— Various monitoring and performance evaluation tools generate considerable amount of low priority traffic. This information is not always needed in real time, and thus could of...
Yuval Shavitt, David Breitgand, Danny Raz
BIOCOMP
2007
13 years 10 months ago
Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
Cole Harris, Noushin Ghaffari