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Mendeley readers
| Chapter title |
Association Rule Interestingness: Measure and Statistical Validation
|
|---|---|
| Chapter number | 11 |
| Book title |
Quality Measures in Data Mining
|
| Published by |
Springer, Berlin, Heidelberg, January 2007
|
| DOI | 10.1007/978-3-540-44918-8_11 |
| Book ISBNs |
978-3-54-044911-9, 978-3-54-044918-8
|
| Authors |
Stephane Lallich, Olivier Teytaud, Elie Prudhomme, Lallich, Stephane, Teytaud, Olivier, Prudhomme, Elie |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| France | 1 | 2% |
| Italy | 1 | 2% |
| United Kingdom | 1 | 2% |
| Serbia | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 35% |
| Student > Master | 8 | 16% |
| Researcher | 8 | 16% |
| Student > Doctoral Student | 3 | 6% |
| Other | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 67% |
| Business, Management and Accounting | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Engineering | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 2 | 4% |