51 search results - page 2 / 11 » Outlier detection and evaluation by network flow |
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Given a percentage-threshold and readings from a pair of consecutive upstream and downstream sensors, flow anomaly discovery identifies dominant time intervals where the fractio...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
PVLDB
2010
13 years 3 months ago
2010
Detecting outliers in data is an important problem with interesting applications in a myriad of domains ranging from data cleaning to financial fraud detection and from network i...
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract-- Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monito...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...