69 search results - page 1 / 14 » An Approach to Outlier Detection of Software Measurement Dat... |
ESEM
2007
ACM
13 years 11 months ago
2007
ACM
The quality of software measurement data affects the accuracy of project manager’s decision making using estimation or prediction models and the understanding of real project st...
TJS
2010
13 years 7 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
IPPS
2008
IEEE
14 years 3 months ago
2008
IEEE
— When an adaptive software component is employed to select the best-performing implementation for a communication operation at runtime, the correctness of the decision taken str...
PKDD
1999
Springer
14 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...
PAKDD
2009
ACM
14 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...