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    • Download all versions of SMOTE JAR files with all dependencies


    SMOTE from group nz.ac.waikato.cms.weka (version 1.0.3)

    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.

    Group: nz.ac.waikato.cms.weka Artifact: SMOTE
    Show documentation Show source 
    Download SMOTE.jar (1.0.3)
     

    30 downloads
    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,
    There are maybe transitive dependencies!

    SMOTE from group nz.ac.waikato.cms.weka (version 1.0.2)

    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.

    Group: nz.ac.waikato.cms.weka Artifact: SMOTE
    Show documentation Show source 
    Download SMOTE.jar (1.0.2)
     

    30 downloads
    Artifact SMOTE
    Group nz.ac.waikato.cms.weka
    Version 1.0.2
    Last update 26. April 2012
    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,
    There are maybe transitive dependencies!

    SMOTE from group nz.ac.waikato.cms.weka (version 1.0.1)

    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.

    Group: nz.ac.waikato.cms.weka Artifact: SMOTE
    Show documentation Show source 
    Download SMOTE.jar (1.0.1)
     

    30 downloads
    Artifact SMOTE
    Group nz.ac.waikato.cms.weka
    Version 1.0.1
    Last update 24. April 2012
    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,
    There are maybe transitive dependencies!


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