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Mendeley readers
Chapter title |
Optimizing Ontology Learning Systems that Use Heterogeneous Sources of Evidence
|
---|---|
Chapter number | 13 |
Book title |
Multi-disciplinary Trends in Artificial Intelligence
|
Published by |
Springer, Cham, November 2015
|
DOI | 10.1007/978-3-319-26181-2_13 |
Book ISBNs |
978-3-31-926180-5, 978-3-31-926181-2
|
Authors |
Gerhard Wohlgenannt, Stefan Belk, Katharina Rohrer, Wohlgenannt, Gerhard, Belk, Stefan, Rohrer, Katharina |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 11% |
Poland | 1 | 11% |
Unknown | 7 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 44% |
Student > Master | 2 | 22% |
Student > Postgraduate | 1 | 11% |
Lecturer | 1 | 11% |
Unknown | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 56% |
Business, Management and Accounting | 1 | 11% |
Social Sciences | 1 | 11% |
Engineering | 1 | 11% |
Unknown | 1 | 11% |