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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 9 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 5 months ago
Tracking User Mobility to Detect Suspicious Behavior.
Popularity of mobile devices is accompanied by widespread security problems, such as MAC address spoofing in wireless networks. We propose a probabilistic approach to temporal an...
Gaurav Tandon, Philip K. Chan
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
14 years 2 months ago
OntoDM: An Ontology of Data Mining
Motivated by the need for unification of the field of data mining and the growing demand for formalized representation of outcomes of research, we address the task of constructi...
Pance Panov, Saso Dzeroski, Larisa N. Soldatova
CVPR
2012
IEEE
11 years 10 months ago
A Unified Framework for Event Summarization and Rare Event Detection
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
Junseok Kwon and Kyoung Mu Lee
JSSPP
2004
Springer
14 years 1 months ago
Parallel Computer Workload Modeling with Markov Chains
Abstract. In order to evaluate different scheduling strategies for parallel computers, simulations are often executed. As the scheduling quality highly depends on the workload tha...
Baiyi Song, Carsten Ernemann, Ramin Yahyapour