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Mendeley readers
| Chapter title |
Association Rule Interestingness Measures: Experimental and Theoretical Studies
|
|---|---|
| Chapter number | 3 |
| Book title |
Quality Measures in Data Mining
|
| Published by |
Springer, Berlin, Heidelberg, January 2007
|
| DOI | 10.1007/978-3-540-44918-8_3 |
| Book ISBNs |
978-3-54-044911-9, 978-3-54-044918-8
|
| Authors |
Philippe Lenca, Benoît Vaillant, Patrick Meyer, Stephane Lallich |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Vietnam | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 6 | 17% |
| Researcher | 4 | 11% |
| Other | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Other | 8 | 23% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 49% |
| Engineering | 7 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Decision Sciences | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 3 | 9% |