An empirical study of the classification performance of learners on imbalanced and noisy software quality data

2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007

Volumn , Issue , 2007, Pages 651-658

  Seiffert, Chris ^a   Khoshgoftaar, Taghi M ^a   Van Hulse, Jason ^a   Folleco, Andres ^a  

^a FLORIDA ATLANTIC UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION SUPPORT SYSTEMS; INDUSTRIAL MANAGEMENT; INFORMATION MANAGEMENT; INFORMATION USE; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; SAMPLING; SEARCH ENGINES;

CLASS IMBALANCES; CLASSIFICATION PERFORMANCE; COMBINED EFFECTS; CONSTRUCT MODELS; DATA MINING TECHNIQUES; DATA QUALITY (DQ); DATA SAMPLING; EMPIRICAL STUDIES; FAULT PRONE; INFORMATION RE-USE; INTERNATIONAL CONFERENCES; SAMPLING TECHNIQUES; SOFTWARE MODULES; SOFTWARE QUALITY CLASSIFICATION; SOFTWARE-QUALITY;

COMPUTER SOFTWARE SELECTION AND EVALUATION;

EID: 47949084331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2007.4296694     Document Type: Conference Paper

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