Research on Unbalanced Data Classification Based on Hybrid Method

碩士 === 元智大學 === 資訊工程學系 === 107 === Unbalanced data are ubiquitous in real-world datasets. In this paper, we investigate unbalanced data distribution for binary classification, i.e., where the number of majority class instances is significantly greater than the number of minority class instances. It...

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Bibliographic Details
Main Authors: Nai-Nan ZHANG, 張乃楠
Other Authors: Ting Ying Chien
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/sy353q