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  "Title": "A Collection of Oversampling Techniques for Class Imbalance\nProblem Based on SMOTE",
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  "Description": "A collection of various oversampling techniques developed\nfrom SMOTE is provided. SMOTE is a oversampling technique which\nsynthesizes a new minority instance between a pair of one\nminority instance and one of its K nearest neighbor.  Other\ntechniques adopt this concept with other criteria in order to\ngenerate balanced dataset for class imbalance problem.",
  "License": "GPL (>= 3)",
  "NeedsCompilation": "no",
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    "User": "root"
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  "Author": "Wacharasak Siriseriwan [aut, cre]",
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  "Date/Publication": "2024-03-15 02:32:09 UTC",
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    "ANS",
    "BLSMOTE",
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    "n_dup_max",
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      "title": "Adaptive Synthetic Sampling Approach for Imbalanced Learning",
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      "title": "Adaptive Neighbor Synthetic Majority Oversampling TEchnique",
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      "title": "Borderline-SMOTE",
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      "title": "Density-based SMOTE",
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      "title": "The function to provide a random number which is used as a location of synthetic instance",
      "topics": [
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      "title": "Counting the number of each class in K nearest neighbor",
      "topics": [
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      ]
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      "title": "Safe-level SMOTE",
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    {
      "page": "SMOTE",
      "title": "Synthetic Minority Oversampling TEchnique",
      "topics": [
        "SMOTE"
      ]
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    {
      "page": "smotefamily-package",
      "title": "SMOTE family package for Data Generation",
      "topics": [
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      ]
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