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Mendeley readers
| Chapter title |
Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load
|
|---|---|
| Chapter number | 9 |
| Book title |
New Frontiers in Mining Complex Patterns
|
| Published by |
Springer, Cham, September 2017
|
| DOI | 10.1007/978-3-319-78680-3_9 |
| Book ISBNs |
978-3-31-978679-7, 978-3-31-978680-3
|
| Authors |
Peter Laurinec, Mária Lucká |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Researcher | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 18% |
| Environmental Science | 1 | 9% |
| Business, Management and Accounting | 1 | 9% |
| Mathematics | 1 | 9% |
| Nursing and Health Professions | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |