You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
|
|---|---|
| Chapter number | 3 |
| Book title |
Knowledge Discovery in Inductive Databases
|
| Published by |
Springer, Berlin, Heidelberg, September 2004
|
| DOI | 10.1007/978-3-540-31841-5_3 |
| Book ISBNs |
978-3-54-025082-1, 978-3-54-031841-5
|
| Authors |
Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Besson, Jérémy, Robardet, Céline, Boulicaut, Jean-François |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Professor | 2 | 22% |
| Other | 2 | 22% |
| Student > Master | 2 | 22% |
| Professor > Associate Professor | 1 | 11% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 56% |
| Business, Management and Accounting | 2 | 22% |
| Mathematics | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |