An Optimized Cost-Sensitive SVM for Imbalanced Data Learning

Peng Cao; Dazhe Zhao; Osmar R. Zaı̈ane

doi:10.1007/978-3-642-37456-2_24

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An Optimized Cost-Sensitive SVM for Imbalanced Data Learning

Peng Cao Dazhe Zhao Osmar R. Zaı̈ane

Year: 2013 Lecture notes in computer science Pages: 280-292 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-37456-2_24

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Keywords:

Computer science Machine learning Artificial intelligence Support vector machine Benchmark (surveying) Classifier (UML) Data mining Feature (linguistics) Real world data Pattern recognition (psychology)

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

An Optimized Cost-Sensitive SVM for Imbalanced Data Learning

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