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Mendeley readers
| Chapter title |
Association Rules and Sequential Patterns
|
|---|---|
| Chapter number | 2 |
| Book title |
Web Data Mining
|
| Published by |
Springer, Berlin, Heidelberg, January 2011
|
| DOI | 10.1007/978-3-642-19460-3_2 |
| Book ISBNs |
978-3-64-219459-7, 978-3-64-219460-3
|
| Authors |
Bing Liu, Liu, Bing |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 4% |
| Indonesia | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Romania | 1 | 2% |
| Unknown | 40 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Student > Master | 11 | 24% |
| Student > Bachelor | 5 | 11% |
| Professor > Associate Professor | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 64% |
| Mathematics | 3 | 7% |
| Engineering | 3 | 7% |
| Earth and Planetary Sciences | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 6 | 13% |