PBC4cip: A new contrast pattern-based classifier for class imbalance problems

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PBC4cip: A new contrast pattern-based classifier for class imbalance problems

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作者：Octavio Loyola-Gonzá ; lez ; ^a ; ^b ; ^{octavioloyola@inaoep.mx" class="auth_mail" title="E-mail the corresponding author} ; ^{octavioloyola@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Miguel Angel Medina-Pé ; rez^c ; ^{migue@itesm.mx" class="auth_mail" title="E-mail the corresponding author} ; José ; Fco. Martí ; nez-Trinidad^a ; ^{fmartine@inaoep.mx" class="auth_mail" title="E-mail the corresponding author} ; Jesú ; s Ariel Carrasco-Ochoa^a ; ^{ariel@inaoep.mx" class="auth_mail" title="E-mail the corresponding author} ; Raú ; l Monroy^c ; ^{raul@itesm.mx" class="auth_mail" title="E-mail the corresponding author} ; Milton Garcí ; a-Borroto^d ; ^{mgarciab@ceis.cujae.edu.cu" class="auth_mail" title="E-mail the corresponding author}
关键词：Supervised classifier ; Contrast patterns ; Imbalanced databases
刊名：Knowledge-Based Systems
出版年：2017
出版时间：1 January 2017
年：2017
卷：115
期：Complete
页码：100-109
全文大小：744 K

文摘

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A new contrast pattern-based classifier for class imbalance problems is introduced.

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PBC4cip is based on the support of the patterns and the class imbalance level.

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PBC4cip outperforms several classifiers designed for class imbalance problems.

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