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Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem

  • Published:2020-04 Issue: Volume:193 Page:105474
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Wang Zhe,Li Yanqiong,Li Dongdong,Zhu Zonghai,Du Wenli

Funder

Natural Science Foundation of China

Shanghai Education Development Foundation, PR China

Shanghai Municipal Education Commission, PR China

Natural Science Foundations of China

National Science Foundation of China

National Major Scientific and Technological Special Project, PR China

Special Fund Project for Shanghai Informatization Development in Big Data, PR China

National Key R&D Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference62 articles.

1. MWMOTE–majority weighted minority oversampling technique for imbalanced data set learning;Barua;IEEE Trans. Knowl. Data Eng.,2013

2. Weighted data gravitation classification for standard and imbalanced data;Cano;IEEE Trans. Cybern.,2013

3. Novel cost-sensitive approach to improve the multilayer perceptron performance on imbalanced data;Castro;IEEE Trans. Neural Netw. Learn. Syst.,2013

4. Entropy-based fuzzy support vector machine for imbalanced datasets;Fan;Knowl.-Based Syst.,2017

5. Learning from class-imbalanced data: Review of methods and applications;Guo;Expert Syst. Appl.,2016
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