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» A general algorithm for data dependence analysis
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114
Voted
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 9 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 3 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 8 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
120
Voted
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 3 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding
KDD
2010
ACM
217views Data Mining» more  KDD 2010»
15 years 1 months ago
Mining program workflow from interleaved traces
Successful software maintenance is becoming increasingly critical due to the increasing dependence of our society and economy on software systems. One key problem of software main...
Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, ...