Software Defect Prediction in Imbalanced Data Sets Using Unbiased Support Vector Machine

Teerawit Choeikiwong; Peerapon Vateekul

doi:10.1007/978-3-662-46578-3_110

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Software Defect Prediction in Imbalanced Data Sets Using Unbiased Support Vector Machine

Teerawit Choeikiwong Peerapon Vateekul

Year: 2015 Lecture notes in electrical engineering Pages: 923-931 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-662-46578-3_110

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Keywords:

Support vector machine Computer science Data mining Machine learning Software Reliability (semiconductor) Naive Bayes classifier Software quality Process (computing) Decision tree Metric (unit) Set (abstract data type) Data set Artificial intelligence Engineering Software development Operating system

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Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Software Reliability and Analysis Research

Physical Sciences → Computer Science → Software

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Software Defect Prediction in Imbalanced Data Sets Using Unbiased Support Vector Machine

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