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 |
Optimal Informational Sorting: The ACS-ULA Approach
|
|---|---|
| Chapter number | 6 |
| Book title |
Data Mining Applications Using Artificial Adaptive Systems
|
| Published by |
Springer, New York, NY, January 2013
|
| DOI | 10.1007/978-1-4614-4223-3_6 |
| Book ISBNs |
978-1-4614-4222-6, 978-1-4614-4223-3
|
| Authors |
Massimo Buscema, Pier Luigi Sacco |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 2 | 67% |
| Researcher | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Decision Sciences | 1 | 33% |
| Social Sciences | 1 | 33% |
| Unknown | 1 | 33% |