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Transparent Data Mining for Big and Small Data

Overview of attention for book
Attention for Chapter 3: The Princeton Web Transparency and Accountability Project
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Citations

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Readers on

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23 Mendeley
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Chapter title
The Princeton Web Transparency and Accountability Project
Chapter number 3
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_3
Book ISBNs
978-3-31-954023-8, 978-3-31-954024-5
Authors

Arvind Narayanan, Dillon Reisman

Editors

Tania Cerquitelli, Daniele Quercia, Frank Pasquale

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 35%
Student > Ph. D. Student 3 13%
Student > Postgraduate 2 9%
Professor 2 9%
Researcher 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 11 48%
Social Sciences 3 13%
Business, Management and Accounting 2 9%
Economics, Econometrics and Finance 1 4%
Engineering 1 4%
Other 0 0%
Unknown 5 22%