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Principles and Theory for Data Mining and Machine Learning

Overview of attention for book
Attention for Chapter 5: Supervised Learning: Partition Methods
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Citations

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Chapter title
Supervised Learning: Partition Methods
Chapter number 5
Book title
Principles and Theory for Data Mining and Machine Learning
Published by
Springer, New York, NY, January 2009
DOI 10.1007/978-0-387-98135-2_5
Book ISBNs
978-0-387-98134-5, 978-0-387-98135-2
Authors

Bertrand Clarke, Ernest Fokoué, Hao Helen Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Researcher 2 20%
Lecturer 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 2 20%
Agricultural and Biological Sciences 2 20%
Engineering 2 20%
Physics and Astronomy 1 10%
Arts and Humanities 1 10%
Other 0 0%
Unknown 2 20%