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Mendeley readers
| Chapter title |
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring
|
|---|---|
| Chapter number | 1 |
| Book title |
Interpretable Artificial Intelligence: A Perspective of Granular Computing
|
| Published by |
Springer, Cham, January 2021
|
| DOI | 10.1007/978-3-030-64949-4_1 |
| Book ISBNs |
978-3-03-064948-7, 978-3-03-064949-4
|
| Authors |
Mehdiyev, Nijat, Fettke, Peter |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 19% |
| Student > Ph. D. Student | 16 | 19% |
| Student > Bachelor | 7 | 8% |
| Researcher | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 30 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 32% |
| Engineering | 9 | 11% |
| Business, Management and Accounting | 8 | 10% |
| Economics, Econometrics and Finance | 3 | 4% |
| Social Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 35 | 42% |