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Principles and Theory for Data Mining and Machine Learning

Overview of attention for book
Attention for Chapter 1: Variability, Information, and Prediction
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Citations

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208 Dimensions

Readers on

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13 Mendeley
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Chapter title
Variability, Information, and Prediction
Chapter number 1
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_1
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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Researcher 2 15%
Student > Master 2 15%
Student > Bachelor 1 8%
Other 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 4 31%
Agricultural and Biological Sciences 3 23%
Engineering 2 15%
Arts and Humanities 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 1 8%