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Mendeley readers
Chapter title |
Scaling up Dynamic Time Warping to Massive Datasets
|
---|---|
Chapter number | 1 |
Book title |
Principles of Data Mining and Knowledge Discovery
|
Published by |
Springer, Berlin, Heidelberg, September 1999
|
DOI | 10.1007/978-3-540-48247-5_1 |
Book ISBNs |
978-3-54-066490-1, 978-3-54-048247-5
|
Authors |
Eamonn J. Keogh, Michael J. Pazzani |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 2% |
Switzerland | 1 | 1% |
Turkey | 1 | 1% |
Malaysia | 1 | 1% |
Netherlands | 1 | 1% |
Brazil | 1 | 1% |
India | 1 | 1% |
United Kingdom | 1 | 1% |
Canada | 1 | 1% |
Other | 1 | 1% |
Unknown | 83 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 30% |
Student > Master | 16 | 17% |
Researcher | 15 | 16% |
Professor | 7 | 7% |
Other | 5 | 5% |
Other | 13 | 14% |
Unknown | 10 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 46% |
Engineering | 18 | 19% |
Physics and Astronomy | 3 | 3% |
Mathematics | 3 | 3% |
Psychology | 2 | 2% |
Other | 12 | 13% |
Unknown | 13 | 14% |