A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets

Almeida Barata De Morais, Romero; Miranda, Pericles B C; Silva, Ricardo M A

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A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets

conference contribution

posted on 2016-01-01, 00:00 authored by Romero Almeida Barata De MoraisRomero Almeida Barata De Morais, Pericles B C Miranda, Ricardo M A Silva

A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets

History

Event

Intelligent systems. Conference (5th : 2016 : Recife, Brazil)

Pagination

385 - 390

Publisher

IEEE

Location

Recife, Brazil

Place of publication

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/bracis.2016.076

Start date

2016-10-09

End date

2016-10-12

ISBN-13

9781509035663

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

BRACIS 2016 : Proceedings of the 2016 5th Brazilian Conference on Intelligent Systems

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A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets

File(s) under permanent embargo

A Meta-Learning Method to Select Under-Sampling Algorithms for Imbalanced Data Sets

History

Event

Pagination

Publisher

Location

Place of publication

Publisher DOI

Start date

End date

ISBN-13

Language

Publication classification

Title of proceedings

Usage metrics

Read the peer-reviewed publication

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