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Mendeley readers
| Chapter title |
A Habit Detection Algorithm (HDA) for Discovering Recurrent Patterns in Smart Meter Time Series
|
|---|---|
| Chapter number | 6 |
| Book title |
Big Data Analytics in the Social and Ubiquitous Context
|
| Published by |
Springer, Cham, April 2014
|
| DOI | 10.1007/978-3-319-29009-6_6 |
| Book ISBNs |
978-3-31-929008-9, 978-3-31-929009-6
|
| Authors |
Rachel Cardell-Oliver, Cardell-Oliver, Rachel |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| Colombia | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Researcher | 2 | 10% |
| Other | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 25% |
| Environmental Science | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Unknown | 12 | 60% |