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Mendeley readers
Chapter title |
ConDist: A Context-Driven Categorical Distance Measure
|
---|---|
Chapter number | 16 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2015
|
DOI | 10.1007/978-3-319-23528-8_16 |
Book ISBNs |
978-3-31-923527-1, 978-3-31-923528-8
|
Authors |
Markus Ring, Florian Otto, Martin Becker, Thomas Niebler, Dieter Landes, Andreas Hotho |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 6% |
Unknown | 17 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 22% |
Student > Ph. D. Student | 4 | 22% |
Other | 2 | 11% |
Student > Bachelor | 2 | 11% |
Student > Master | 2 | 11% |
Other | 2 | 11% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 50% |
Mathematics | 1 | 6% |
Environmental Science | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Business, Management and Accounting | 1 | 6% |
Other | 0 | 0% |
Unknown | 5 | 28% |