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» Obtaining Best Parameter Values for Accurate Classification
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ICDM
2005
IEEE
130views Data Mining» more  ICDM 2005»
13 years 10 months ago
Obtaining Best Parameter Values for Accurate Classification
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. ...
Frans Coenen, Paul H. Leng
DKE
2007
89views more  DKE 2007»
13 years 4 months ago
The effect of threshold values on association rule based classification accuracy
Classification Association Rule Mining (CARM) systems operate by applying an Association Rule Mining (ARM) method to obtain classification rules from a training set of previousl...
Frans Coenen, Paul H. Leng
ICC
2007
IEEE
141views Communications» more  ICC 2007»
13 years 10 months ago
Accurate Classification of the Internet Traffic Based on the SVM Method
—The need to quickly and accurately classify Internet traffic for security and QoS control has been increasing significantly with the growing Internet traffic and applications ov...
Zhu Li, Ruixi Yuan, Xiaohong Guan
IPPS
2008
IEEE
13 years 11 months ago
Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization
In this paper, we consider the interaction between application programmers and tools that automatically search a space of application-level parameters that are believed to impact ...
Yiinju L. Nelson, Bhupesh Bansal, Mary W. Hall, Ai...
ISF
2010
164views more  ISF 2010»
13 years 1 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu