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Mendeley readers
Chapter title |
How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods
|
---|---|
Chapter number | 9 |
Book title |
Advanced Analytics and Learning on Temporal Data
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-39098-3_9 |
Book ISBNs |
978-3-03-039097-6, 978-3-03-039098-3
|
Authors |
Clément Christophe, Julien Velcin, Jairo Cugliari, Philippe Suignard, Manel Boumghar, Christophe, Clément, Velcin, Julien, Cugliari, Jairo, Suignard, Philippe, Boumghar, Manel |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 21% |
Student > Bachelor | 2 | 14% |
Student > Master | 2 | 14% |
Student > Doctoral Student | 1 | 7% |
Professor | 1 | 7% |
Other | 3 | 21% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 57% |
Engineering | 2 | 14% |
Social Sciences | 1 | 7% |
Unknown | 3 | 21% |