IEEE - Institute of Electrical and Electronics Engineers, Inc. - Multi-classes Imbalanced Dataset Classification Based on Sample Information

2015 IEEE 17th International Conference on High-Performance Computing and Communications; 2015 IEEE 7th International Symposium on Cyberspace Safety and Security; and 2015 IEEE 12th International Conference on Embedded Software and Systems

Author(s): Chuang Yu ; Fengqi Li ; Guangming Li ; Nanhai Yang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2015
Conference Location: New York, NY, USA
Conference Date: 24 August 2015
Page(s): 1,768 - 1,773
ISBN (Electronic): 978-1-4799-8937-9
ISBN (USB): 978-1-4799-8936-2
DOI: 10.1109/HPCC-CSS-ICESS.2015.327
Regular:

The classification boundary for multi-classes imbalanced dataset is difficult to judge, posing an important challenge on classification methods. Aiming at this problem, we propose an multi-classes... View More

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