Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyk, M Woźniak, G Schaefer - Applied Soft Computing, 2014 - Elsevier
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …
被引用次数：391 相关文章

[引用][C] Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyk, M Woźniak, G Schaefer - Applied Soft Computing, 2014 - cir.nii.ac.jp
Cost-sensitive decision tree ensembles for effective imbalanced classification | CiNii Research
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Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyk, M Woźniak, G Schaefer - Applied Soft Computing, 2014 - infona.pl
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …

Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyk, M Woniak, G Schaefer - Applied Soft Computing, 2014 - dl.acm.org
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …
[PDF] core.ac.uk

[PDF][PDF] Cost-sensitive decision tree ensembles for effective imbalanced classification

B KRAWCZYK, M WOZNIAK, G SCHAEFER - Applied Soft Computing, 2014 - core.ac.uk
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …
[PDF] lboro.ac.uk

[PDF][PDF] Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyk, M Wozniak, G Schaefer - repository.lboro.ac.uk
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …

Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyk, M Woźniak, G Schaefer - Applied Soft Computing, 2014 - infona.pl
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …
[PDF] core.ac.uk

[PDF][PDF] Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyka, M l Wozniaka, G Schaeferb - core.ac.uk
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …
[PDF] lboro.ac.uk

[PDF][PDF] Cost-sensitive decision tree ensembles for effective imbalanced classification

B Krawczyk, M Wozniak, G Schaefer - repository.lboro.ac.uk
Real-life datasets are often imbalanced, that is, there are significantly more training samples
available for some classes than for others, and consequently the conventional aim of …