401 search results - page 3 / 81 » Prototype based outlier detection |
KAIS
2006
13 years 6 months ago
2006
Outlier detection techniques are widely used in many applications such as credit card fraud detection, monitoring criminal activities in electronic commerce, etc. These application...
SIGMOD
2000
ACM
13 years 10 months ago
2000
ACM
For many KDD applications, such as detecting criminal activities in E-commerce, finding the rare instances or the outliers, can be more interesting than finding the common pattern...
PAKDD
2009
ACM
13 years 10 months ago
2009
ACM
Detecting outliers which are grossly different from or inconsistent with the remaining dataset is a major challenge in real-world KDD applications. Existing outlier detection met...
ICPR
2010
IEEE
13 years 4 months ago
2010
IEEE
Prototype classifiers trained with multi-class classification objective are inferior in pattern retrieval and outlier rejection. To improve the binary classification (detection, v...
PKDD
1999
Springer
13 years 10 months ago
1999
Springer
: 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...