2423 search results - page 2 / 485 » Outlier detection in performance data of parallel applicatio... |
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
We have proposed replicator neural networks (RNNs) as an outlier detecting algorithm [15]. Here we compare RNN for outlier detection with three other methods using both publicly a...
CIKM
2007
Springer
13 years 11 months ago
2007
Springer
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
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...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
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...