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Transparent Data Mining for Big and Small Data

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

twitter
50 tweeters

Citations

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9 Dimensions

Readers on

mendeley
103 Mendeley
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Title
Transparent Data Mining for Big and Small Data
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-54024-5
ISBNs
978-3-31-954024-5, 978-3-31-954023-8
Editors

Tania Cerquitelli, Daniele Quercia, Frank Pasquale

Twitter Demographics

The data shown below were collected from the profiles of 50 tweeters 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 29%
Student > Bachelor 16 16%
Student > Ph. D. Student 14 14%
Researcher 9 9%
Lecturer 6 6%
Other 11 11%
Unknown 17 17%
Readers by discipline Count As %
Computer Science 40 39%
Social Sciences 14 14%
Engineering 9 9%
Business, Management and Accounting 4 4%
Arts and Humanities 4 4%
Other 13 13%
Unknown 19 18%