The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
Existing ontology matching algorithms use a combination of lexical and structural correspondance between source and target ontologies. We present a realistic case-study where both ...
Zharko Aleksovski, Michel C. A. Klein, Warner ten ...
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Vulnerabilities that allow worms to hijack the control flow of each host that they spread to are typically discovered months before the worm outbreak, but are also typically disc...
Jedidiah R. Crandall, Zhendong Su, Shyhtsun Felix ...