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https://github.com/majobasgall/smote-mr
SMOTE-MR: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data which applies a MapReduce based-approach. SMOTE-MR is categorized as an `approximated/ non exact` solution. Also, there is an `exact` solution called SMOTE-BD written by the author (See: https://github.com/majobasgall/smote-bd)
https://github.com/majobasgall/smote-mr
big-data imbalanced-data machile-learning scala smote spark
Last synced: 3 days ago
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SMOTE-MR: A distributed Synthetic Minority Oversampling Technique (SMOTE) for Big Data which applies a MapReduce based-approach. SMOTE-MR is categorized as an `approximated/ non exact` solution. Also, there is an `exact` solution called SMOTE-BD written by the author (See: https://github.com/majobasgall/smote-bd)
- Host: GitHub
- URL: https://github.com/majobasgall/smote-mr
- Owner: majobasgall
- License: apache-2.0
- Created: 2018-09-11T17:31:44.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-05-03T10:53:38.000Z (over 5 years ago)
- Last Synced: 2023-07-03T13:44:26.263Z (over 1 year ago)
- Topics: big-data, imbalanced-data, machile-learning, scala, smote, spark
- Language: Scala
- Homepage:
- Size: 18.6 KB
- Stars: 3
- Watchers: 0
- Forks: 0
- Open Issues: 0