9 search results - page 1 / 2 » A New Local Distance-Based Outlier Detection Approach for Sc... |
PAKDD
2009
ACM
15 years 1 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...
107
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AUSAI
2009
Springer
15 years 4 months ago
2009
Springer
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
107
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BMCBI
2006
14 years 9 months ago
2006
Background: Nonlinear regression, like linear regression, assumes that the scatter of data around the ideal curve follows a Gaussian or normal distribution. This assumption leads ...
KDD
2008
ACM
15 years 9 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
PKDD
1999
Springer
15 years 1 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...