Support Vector Machines for class imbalance rail data classification with bootstrapping-based over-sampling and under-sampling

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 19, Issue , 2014, Pages 8756-8761

  Zughrat, Ali ^a   Mahfouf, M ^a   Yang, Y Y ^a   Thornton, S ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b SWINDEN TECHNOLOGY CENTRE   (Netherlands)

Author keywords

Imbalanced data; Oversampling; Support Vector Machines (SVMs); Under sampling

Indexed keywords

AUTOMATION; COMPUTATIONAL COMPLEXITY; ITERATIVE METHODS; PROBLEM SOLVING; VECTORS;

GENERALIZATION CAPABILITY; GENERALIZATION PERFORMANCE; IMBALANCED DATA; MACHINE LEARNING TECHNIQUES; OVER SAMPLING; SUPPORT VECTOR MACHINE (SVMS); SUPPORT VECTOR MACHINE ALGORITHM; UNDER-SAMPLING;

SUPPORT VECTOR MACHINES;

EID: 84929773806     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20140824-6-za-1003.00794     Document Type: Conference Paper

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