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Learning from Imbalanced Data Sets
Foundations on Imbalanced Classification
other
Author(s):
Alberto Fernández
,
Salvador García
,
Mikel Galar
,
Ronaldo C. Prati
,
Bartosz Krawczyk
,
Francisco Herrera
Publication date
(Online):
October 23 2018
Publisher:
Springer International Publishing
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MapReduce
Jeffrey S. Dean
,
Sanjay Ghemawat
(2008)
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Learning from Imbalanced Data
Haibo He
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E.A. Garcia
(2009)
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A study of the behavior of several methods for balancing machine learning training data
Gustavo E. A. P. A. Batista
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Ronaldo C. Prati
,
Maria Carolina Monard
(2004)
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Author and book information
Book Chapter
Publication date (Print):
2018
Publication date (Online):
October 23 2018
Pages
: 19-46
DOI:
10.1007/978-3-319-98074-4_2
SO-VID:
2741649b-9798-4735-97cd-cd162e85c4da
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Book chapters
pp. 1
Introduction to KDD and Data Science
pp. 19
Foundations on Imbalanced Classification
pp. 47
Performance Measures
pp. 63
Cost-Sensitive Learning
pp. 79
Data Level Preprocessing Methods
pp. 123
Algorithm-Level Approaches
pp. 147
Ensemble Learning
pp. 197
Imbalanced Classification with Multiple Classes
pp. 253
Data Intrinsic Characteristics
pp. 279
Learning from Imbalanced Data Streams
pp. 305
Non-classical Imbalanced Classification Problems
pp. 327
Imbalanced Classification for Big Data
pp. 351
Software and Libraries for Imbalanced Classification
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