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ACSAC
1999
IEEE
15 years 4 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
MICCAI
2010
Springer
14 years 9 months ago
Groupwise Registration by Hierarchical Anatomical Correspondence Detection
Groupwise registration has been widely investigated in recent years due to its importance in analyzing population data in many clinical applications. To our best knowledge, most o...
Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen
OSDI
2008
ACM
16 years 2 days ago
Mining Console Logs for Large-Scale System Problem Detection
The console logs generated by an application contain messages that the application developers believed would be useful in debugging or monitoring the application. Despite the ubiq...
Wei Xu, Ling Huang, Armando Fox, David A. Patterso...
SAC
2006
ACM
15 years 5 months ago
STRUDEL: supporting trust in the dynamic establishment of peering coalitions
The Coalition Peering Domain (CPD) is a recent innovation within the field of mesh networking. It facilitates the management of community-area networks in a distributed and scala...
Daniele Quercia, Manish Lad, Stephen Hailes, Licia...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
15 years 9 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel