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ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
14 years 2 months ago
A Comparative Study of Methods for Transductive Transfer Learning
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...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
14 years 2 days ago
OPTICS-OF: Identifying Local Outliers
: 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. ...
EKAW
2006
Springer
13 years 11 months ago
Matching Unstructured Vocabularies Using a Background Ontology
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 ...
KAIS
2006
121views more  KAIS 2006»
13 years 7 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
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...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
CCS
2005
ACM
14 years 1 months ago
On deriving unknown vulnerabilities from zero-day polymorphic and metamorphic worm exploits
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 ...