Sciweavers

10577 search results - page 16 / 2116
» Active Data Mining
Sort
View
SIGMOD
2001
ACM
166views Database» more  SIGMOD 2001»
14 years 8 months ago
ADAM: A Testbed for Exploring the Use of Data Mining in Intrusion Detection
Intrusion detection systems have traditionally been based on the characterization of an attack and the tracking of the activity on the system to see if it matches that characteriz...
Daniel Barbará, Julia Couto, Sushil Jajodia, Ning...
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 3 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
14 years 27 days ago
Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation
We present a method for distinguishing two subtly different mental states, on the basis of the underlying brain activation measured with fMRI. The method uses a classifier to lea...
Francisco Pereira, Marcel Just, Tom M. Mitchell
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 5 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
14 years 2 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott