Handling imbalanced classification problem: A case study on social media datasets

Author:

Nguyen Tuong Tri1,Hwang Dosam1,Jung Jason J.2

Affiliation:

1. Department of Computer Engineering, Yeungnam University, Gyeongsan, South Korea

2. Department of Computer Engineering, Chung-Ang University, Seoul, South Korea

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference25 articles.

1. A new sampling method for classifying imbalanced data based on support vector machine ensemble;Jian;Neurocomputing,2016

2. An empirical study of the classification performance of learners on imbalanced and noisy software quality data;Seiffert;Information Sciences,2014

3. Real-time event detection on social data stream;Nguyen;Mobile Networks and Applications,2015

4. MSVMpack: A multi-class support vector machine package;Lauer;The Journal of Machine Learning Research,2011

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3. Imbalanced data classification using MapReduce and relief;Journal of Information and Telecommunication;2018-02-23

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