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Resamples a dataset by applying the Synthetic Minority Oversampling TEchnique (SMOTE). The original dataset must fit entirely in memory. The amount of SMOTE and number of nearest neighbors may be specified. For more information, see Nitesh V. Chawla et. al. (2002). Synthetic Minority Over-sampling Technique. Journal of Artificial Intelligence Research. 16:321-357.

Files of the artifact SMOTE version 1.0.3 from the group nz.ac.waikato.cms.weka.

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Artifact SMOTE
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 03. April 2013
Tags: technique information applying minority 2002 synthetic number nearest research memory must journal amount neighbors resamples over more specified chawla dataset sampling original oversampling entirely artificial nitesh smote intelligence
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/SMOTE
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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SMOTE
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Source code of SMOTE version 1.0.3





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