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Mendeley readers
| Chapter title |
Sequential Pattern Mining by Pattern-Growth: Principles and Extensions *
|
|---|---|
| Chapter number | 8 |
| Book title |
Foundations and Advances in Data Mining
|
| Published by |
Springer, Berlin, Heidelberg, September 2005
|
| DOI | 10.1007/11362197_8 |
| Book ISBNs |
978-3-54-025057-9, 978-3-54-032393-8
|
| Authors |
J. Han, J. Pei, X. Yan |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 5% |
| France | 1 | 3% |
| Austria | 1 | 3% |
| New Caledonia | 1 | 3% |
| Greece | 1 | 3% |
| Iraq | 1 | 3% |
| Unknown | 31 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 29% |
| Researcher | 7 | 18% |
| Student > Bachelor | 5 | 13% |
| Student > Doctoral Student | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 47% |
| Engineering | 5 | 13% |
| Business, Management and Accounting | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Earth and Planetary Sciences | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 7 | 18% |