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Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods

Overview of attention for book
Attention for Chapter 5: Fuzzy Rough Set Based Classification of Semi-supervised Data
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Chapter title
Fuzzy Rough Set Based Classification of Semi-supervised Data
Chapter number 5
Book title
Dealing with Imbalanced and Weakly Labelled Data in Machine Learning using Fuzzy and Rough Set Methods
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-04663-7_5
Book ISBNs
978-3-03-004662-0, 978-3-03-004663-7
Authors

Sarah Vluymans

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Bachelor 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Mathematics 1 20%
Psychology 1 20%
Unknown 1 20%