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Mendeley readers
| Chapter title |
Overview of Scalable Partitional Methods for Big Data Clustering
|
|---|---|
| Chapter number | 1 |
| Book title |
Clustering Methods for Big Data Analytics
|
| Published by |
Springer, Cham, January 2019
|
| DOI | 10.1007/978-3-319-97864-2_1 |
| Book ISBNs |
978-3-31-997863-5, 978-3-31-997864-2
|
| Authors |
Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N’Cir, Nadia Essoussi, HajKacem, Mohamed Aymen Ben, N’Cir, Chiheb-Eddine Ben, Essoussi, Nadia |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 17% |
| Other | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Researcher | 2 | 11% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 50% |
| Business, Management and Accounting | 2 | 11% |
| Unknown | 7 | 39% |