Parameter-free classification in multi-class imbalanced data sets

Loïc Cerf; Dominique Gay; Nazha Selmaoui‐Folcher; Bruno Crémilleux; Jean‐François Boulicaut

doi:10.1016/j.datak.2013.06.001

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Parameter-free classification in multi-class imbalanced data sets

Loïc Cerf Dominique Gay Nazha Selmaoui‐Folcher Bruno Crémilleux Jean‐François Boulicaut

Year: 2013 Journal: Data & Knowledge Engineering Vol: 87 Pages: 109-129 Publisher: Elsevier BV

DOI: 10.1016/j.datak.2013.06.001

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Keywords:

Class (philosophy) One-class classification Computer science Artificial intelligence Benchmark (surveying) Machine learning Data mining Point (geometry) Mathematics Support vector machine

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Parameter-free classification in multi-class imbalanced data sets

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