46 search results - page 2 / 10 » Local Subspace Based Outlier Detection |
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...
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...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
ESEM
2007
ACM
13 years 10 months ago
2007
ACM
In this paper, we experimentally evaluated the effect of outlier detection methods to improve the prediction performance of fault-proneness models. Detected outliers were removed ...