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X Demographics
Mendeley readers
Chapter title |
FUN: An Efficient Algorithm for Mining Functional and Embedded Dependencies
|
---|---|
Chapter number | 13 |
Book title |
Database Theory — ICDT 2001
|
Published by |
Springer, Berlin, Heidelberg, January 2001
|
DOI | 10.1007/3-540-44503-x_13 |
Book ISBNs |
978-3-54-041456-8, 978-3-54-044503-6
|
Authors |
Noël Novelli, Rosine Cicchetti |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 6% |
Unknown | 16 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 24% |
Student > Master | 4 | 24% |
Researcher | 2 | 12% |
Student > Postgraduate | 2 | 12% |
Professor > Associate Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 71% |
Physics and Astronomy | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 3 | 18% |