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Mendeley readers
Chapter title |
Finding Electric Energy Consumption Patterns in Big Time Series Data
|
---|---|
Chapter number | 25 |
Book title |
Distributed Computing and Artificial Intelligence, 13th International Conference
|
Published in |
Advances in Intelligent Systems and Computing, June 2016
|
DOI | 10.1007/978-3-319-40162-1_25 |
Book ISBNs |
978-3-31-940161-4, 978-3-31-940162-1
|
Authors |
R. Perez-Chacon, R. L. Talavera-Llames, F. Martinez-Alvarez, A. Troncoso |
Editors |
Sigeru Omatu, Ali Semalat, Grzegorz Bocewicz, Paweł Sitek, Izabela E. Nielsen, Julián A. García García, Javier Bajo |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 18% |
Researcher | 5 | 15% |
Professor > Associate Professor | 4 | 12% |
Student > Ph. D. Student | 4 | 12% |
Lecturer | 3 | 9% |
Other | 6 | 18% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 42% |
Engineering | 3 | 9% |
Business, Management and Accounting | 2 | 6% |
Energy | 2 | 6% |
Social Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 11 | 33% |