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Transparent Data Mining for Big and Small Data

Overview of attention for book
Attention for Chapter 4: Algorithmic Transparency via Quantitative Input Influence
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Citations

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Readers on

mendeley
137 Mendeley
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Chapter title
Algorithmic Transparency via Quantitative Input Influence
Chapter number 4
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_4
Book ISBNs
978-3-31-954023-8, 978-3-31-954024-5
Authors

Anupam Datta, Shayak Sen, Yair Zick

Editors

Tania Cerquitelli, Daniele Quercia, Frank Pasquale

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 1 <1%
Sri Lanka 1 <1%
Germany 1 <1%
Unknown 131 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 33%
Student > Master 23 17%
Researcher 16 12%
Other 8 6%
Student > Doctoral Student 7 5%
Other 17 12%
Unknown 21 15%
Readers by discipline Count As %
Computer Science 73 53%
Social Sciences 8 6%
Engineering 8 6%
Business, Management and Accounting 6 4%
Arts and Humanities 3 2%
Other 18 13%
Unknown 21 15%