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» Efficient Distribution Mining and Classification
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124
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CIDM
2007
IEEE
15 years 3 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...
160
Voted
CHI
2008
ACM
16 years 4 months ago
Your place or mine?: visualization as a community component
Many Eyes is a web site that provides collaborative visualization services, allowing users to upload data sets, visualize them, and comment on each other's visualizations. Th...
Catalina M. Danis, Fernanda B. Viégas, Jess...
148
Voted
ML
2010
ACM
138views Machine Learning» more  ML 2010»
14 years 10 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
196
Voted
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 1 months ago
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations
Partially observable Markov decision processes (POMDPs) are widely used for planning under uncertainty. In many applications, the huge size of the POMDP state space makes straightf...
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, Mik...
119
Voted
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 1 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...