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