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Mendeley readers
| Chapter title |
Deep Learning Techniques in Big Data Analytics
|
|---|---|
| Chapter number | 5 |
| Book title |
Big Data Technologies and Applications
|
| Published by |
Springer International Publishing, September 2016
|
| DOI | 10.1007/978-3-319-44550-2_5 |
| Book ISBNs |
978-3-31-944548-9, 978-3-31-944550-2
|
| Authors |
Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagc |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 22% |
| Student > Ph. D. Student | 12 | 19% |
| Student > Bachelor | 6 | 9% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 5 | 8% |
| Other | 9 | 14% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 30% |
| Engineering | 7 | 11% |
| Business, Management and Accounting | 6 | 9% |
| Arts and Humanities | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 15 | 23% |