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Mendeley readers
Chapter title |
A Fully Automated Periodicity Detection in Time Series
|
---|---|
Chapter number | 4 |
Book title |
Advanced Analytics and Learning on Temporal Data
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-39098-3_4 |
Book ISBNs |
978-3-03-039097-6, 978-3-03-039098-3
|
Authors |
Tom Puech, Matthieu Boussard, Anthony D’Amato, Gaëtan Millerand, Puech, Tom, Boussard, Matthieu, D’Amato, Anthony, Millerand, Gaëtan |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 17% |
Student > Bachelor | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Student > Master | 3 | 9% |
Professor | 2 | 6% |
Other | 4 | 11% |
Unknown | 14 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 23% |
Engineering | 5 | 14% |
Physics and Astronomy | 2 | 6% |
Mathematics | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 4 | 11% |
Unknown | 14 | 40% |