Identifying learners robust to low quality data

2008 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2008

Volumn , Issue , 2008, Pages 190-195

  Folleco, Andres ^a   Khoshgoftaar, Taghi M ^a   Van Hulse, Jason ^a   Bullard, Lofton ^a  

^a FLORIDA ATLANTIC UNIVERSITY   (United States)

Author keywords

Learning performance; Quality of data; Random forest; Software measurement data

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; ELECTRIC MEASURING INSTRUMENTS; INFORMATION USE; SOFTWARE ENGINEERING; TECHNOLOGY;

CLASSIFICATION MODELS; CLASSIFICATION PERFORMANCE; DATA SETS; DEPENDENT VARIABLES; INFORMATION RE-USE; INTERNATIONAL CONFERENCES; LEARNING PERFORMANCE; LOW QUALITY DATA; LOW-QUALITY; MEASUREMENT DATA; MEASUREMENT DATASETS; NOISY DATA; QUALITY OF DATA; RANDOM FOREST; RANDOM FORESTS; REAL-WORLD DATASETS; ROBUST PERFORMANCE; SOFTWARE MEASUREMENT DATA;

INDUSTRIAL MANAGEMENT;

EID: 51949113080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2008.4583028     Document Type: Conference Paper

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