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Transparent Data Mining for Big and Small Data

Overview of attention for book
Attention for Chapter 5: Learning Interpretable Classification Rules with Boolean Compressed Sensing
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Mentioned by

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1 tweeter

Citations

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9 Dimensions

Readers on

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19 Mendeley
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Chapter title
Learning Interpretable Classification Rules with Boolean Compressed Sensing
Chapter number 5
Book title
Transparent Data Mining for Big and Small Data
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-54024-5_5
Book ISBNs
978-3-31-954023-8, 978-3-31-954024-5
Authors

Dmitry M. Malioutov, Kush R. Varshney, Amin Emad, Sanjeeb Dash

Editors

Tania Cerquitelli, Daniele Quercia, Frank Pasquale

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 37%
Student > Ph. D. Student 4 21%
Researcher 2 11%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 11 58%
Engineering 3 16%
Medicine and Dentistry 1 5%
Unknown 4 21%