Advances in Intelligent Data Analysis XX
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
A Generic Trace Ordering Framework for Incremental Process Discovery
|
|---|---|
| Book title |
Advances in Intelligent Data Analysis XX
|
| Published by |
Springer, Cham, April 2022
|
| DOI | 10.1007/978-3-031-01333-1_21 |
| Book ISBNs |
978-3-03-101332-4, 978-3-03-101333-1
|
| Authors |
Schuster, Daniel, Domnitsch, Emanuel, van Zelst, Sebastiaan J., van der Aalst, Wil M. P. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 50% |
| Student > Ph. D. Student | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 50% |
| Computer Science | 1 | 50% |