47 search results - page 6 / 10 » Multiobjective evolutionary community detection for dynamic ... |
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
SGAI
2007
Springer
15 years 3 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
91
Voted
MASCOTS
2010
14 years 11 months ago
2010
To monitor and diagnose bottlenecks on network paths used for large-scale data transfers, there is an increasing trend to deploy measurement frameworks such as perfSONAR. These dep...
ASUNAM
2009
IEEE
15 years 2 months ago
2009
IEEE
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...