243 search results - page 30 / 49 » Empirical comparison of algorithms for network community det... |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
ASUNAM
2010
IEEE
13 years 6 months ago
2010
IEEE
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
GLOBECOM
2008
IEEE
14 years 2 months ago
2008
IEEE
—Designing a sensor network congestion avoidance algorithm is a challenging task due to the application specific nature of these networks. The frequency of event sensing is a de...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...