127 search results - page 3 / 26 » Incremental Local Outlier Detection for Data Streams |
HPCC
2007
Springer
13 years 11 months ago
2007
Springer
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
SAC
2009
ACM
13 years 12 months ago
2009
ACM
Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
PAKDD
2009
ACM
13 years 9 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...
IC3
2009
13 years 2 months ago
2009
Abstract. Existing studies in outlier detection mostly focus on detecting outliers in full feature space. But most algorithms tend to break down in highdimensional feature spaces b...
PKDD
1999
Springer
13 years 9 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...