2423 search results - page 7 / 485 » Outlier detection in performance data of parallel applicatio... |
SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
Outlier detection research is currently focusing on the development of new methods and on improving the computation time for these methods. Evaluation however is rather heuristic,...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
The problem of finding outliers in data has broad applications in areas as diverse as data cleaning, fraud detection, network monitoring, invasive species monitoring, etc. While th...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Outlier detection in vehicle traffic data is a practical problem that has gained traction lately due to an increasing capability to track moving vehicles in city roads. In contrast...
CCE
2004
13 years 7 months ago
2004
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...
PRL
2006
13 years 7 months ago
2006
We propose to use learning vector quantization (LVQ) in novelty detection where a few outliers exist in training data. The codebook update of original LVQ is modified and the sche...