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Mendeley readers
| Chapter title |
Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach
|
|---|---|
| Chapter number | 8 |
| Book title |
New Frontiers in Quantitative Methods in Informatics
|
| Published by |
Springer, Cham, December 2017
|
| DOI | 10.1007/978-3-319-91632-3_8 |
| Book ISBNs |
978-3-31-991631-6, 978-3-31-991632-3
|
| Authors |
Valeria Cardellini, Francesco Lo Presti, Matteo Nardelli, Gabriele Russo Russo |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 50% |
| Student > Ph. D. Student | 1 | 17% |
| Researcher | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 67% |
| Decision Sciences | 1 | 17% |
| Social Sciences | 1 | 17% |