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AIR
2006
107views more  AIR 2006»
13 years 5 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
ANOR
2010
82views more  ANOR 2010»
13 years 5 months ago
Time-based detection of changes to multivariate patterns
Detection of changes to multivariate patterns is an important topic in a number of different domains. Modern data sets often include categorical and numerical data and potentially...
Jing Hu, George C. Runger
ECCV
2010
Springer
13 years 10 months ago
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...
VIZSEC
2004
Springer
13 years 10 months ago
Managing attack graph complexity through visual hierarchical aggregation
We describe a framework for managing network attack graph complexity through interactive visualization, which includes hierarchical aggregation of graph elements. Aggregation coll...
Steven Noel, Sushil Jajodia
CIKM
2009
Springer
13 years 11 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...