In this paper, for solving imbalanced classification problem, more attention is placed on data points in the boundary area between two classes. The fuzzy k-nearest neighbors algorithm, which has good performance in conventional classification problems, is adapted here to solve imbalanced classification problems, where G-mean accuracy is used to evaluate our proposal method and compare it with other approaches.
|ホスト出版物のタイトル||Frontiers in Artificial Intelligence and Applications|
|出版ステータス||Published - 2014|
|名前||Frontiers in Artificial Intelligence and Applications|
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