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» Sojourn Times and Rare Events
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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
13 years 10 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
WSC
2001
13 years 6 months ago
Simulation of rare events in transportation systems
Prior to the deployment of any new or replacement component within a transportation system, it should be demonstrated that the modified system meets or exceeds the safety requirem...
Lori M. Kaufman, Ted C. Giras
VALUETOOLS
2006
ACM
149views Hardware» more  VALUETOOLS 2006»
13 years 11 months ago
Tail asymptotics for discrete event systems
In the context of communication networks, the framework of stochastic event graphs allows a modeling of control mechanisms induced by the communication protocol and an analysis of ...
Marc Lelarge
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 5 months ago
Heavy-Tailed Limits for Medium Size Jobs and Comparison Scheduling
We study the conditional sojourn time distributions of processor sharing (PS), foreground background processor sharing (FBPS) and shortest remaining processing time first (SRPT) s...
Predrag R. Jelenkovic, Xiaozhu Kang, Jian Tan
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
13 years 3 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki