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Mendeley readers
Chapter title |
Mining Hierarchical Temporal Patterns in Multivariate Time Series
|
---|---|
Chapter number | 11 |
Book title |
KI 2004: Advances in Artificial Intelligence
|
Published by |
Springer, Berlin, Heidelberg, September 2004
|
DOI | 10.1007/978-3-540-30221-6_11 |
Book ISBNs |
978-3-54-023166-0, 978-3-54-030221-6
|
Authors |
Fabian Mörchen, Alfred Ultsch |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 9% |
Germany | 1 | 3% |
Vietnam | 1 | 3% |
France | 1 | 3% |
Russia | 1 | 3% |
India | 1 | 3% |
Unknown | 25 | 76% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 36% |
Student > Master | 5 | 15% |
Lecturer | 4 | 12% |
Professor > Associate Professor | 4 | 12% |
Student > Doctoral Student | 3 | 9% |
Other | 4 | 12% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 64% |
Engineering | 3 | 9% |
Economics, Econometrics and Finance | 2 | 6% |
Psychology | 2 | 6% |
Earth and Planetary Sciences | 1 | 3% |
Other | 3 | 9% |
Unknown | 1 | 3% |