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KDD
1998
ACM
145views Data Mining» more  KDD 1998»
14 years 1 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
CIDM
2007
IEEE
13 years 9 months ago
Detection of Unknown Computer Worms Activity Based on Computer Behavior using Data Mining
— Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, aft...
Robert Moskovitch, Ido Gus, Shay Pluderman, Dima S...
CIKM
2010
Springer
13 years 7 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
CONCUR
2007
Springer
14 years 24 days ago
Temporal Antecedent Failure: Refining Vacuity
We re-examine vacuity in temporal logic model checking. We note two disturbing phenomena in recent results in this area. The first indicates that not all vacuities detected in prac...
Shoham Ben-David, Dana Fisman, Sitvanit Ruah
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen