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Mendeley readers
| Chapter title |
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
|
|---|---|
| Chapter number | 1 |
| Book title |
Database Support for Data Mining Applications
|
| Published by |
Springer, Berlin, Heidelberg, January 2004
|
| DOI | 10.1007/978-3-540-44497-8_1 |
| Book ISBNs |
978-3-54-022479-2, 978-3-54-044497-8
|
| Authors |
Jean-François Boulicaut, Boulicaut, Jean-François |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Professor > Associate Professor | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Student > Master | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 80% |
| Physics and Astronomy | 1 | 20% |