A Survey of Predictive Modeling on Imbalanced Domains

Branco, Paula Sério; Ribeiro, Rita P.; Torgo, Luis

doi:10.1145/2907070

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A Survey of Predictive Modeling on Imbalanced Domains

Author(s): Paula Branco , Luís Torgo , Rita P. Ribeiro

Publication date Created: November 11 2016

Publication date (Print): August 13 2016

Journal: ACM Computing Surveys

Publisher: Association for Computing Machinery (ACM)

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Most cited references 170

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A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard (2004)

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A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

M Galar, A. Fernández, E. Barrenechea … (2012)

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CLASSIFICATION OF IMBALANCED DATA: A REVIEW

Andrew Wong, YANMIN SUN, MOHAMED S. KAMEL (2009)

0 comments Cited 289 times – based on 0 reviews      Review now

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Journal

Title: ACM Computing Surveys

Abbreviated Title: ACM Comput. Surv.

Publisher: Association for Computing Machinery (ACM)

ISSN (Print): 03600300

Publication date Created: November 11 2016

Publication date (Print): August 13 2016

Volume: 49

Issue: 2

Pages: 1-50

Article

DOI: 10.1145/2907070

SO-VID: 7ffe2117-46b8-406f-941c-d654b40c5431

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http://www.acm.org/publications/policies/copyright_policy#Background

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A Survey of Predictive Modeling on Imbalanced Domains

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New directions in predictive processing

Most cited references 170

A study of the behavior of several methods for balancing machine learning training data

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

CLASSIFICATION OF IMBALANCED DATA: A REVIEW

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