Advances in Data Mining. Applications and Theoretical Aspects
Springer, Cham
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Timeline
X Demographics
Mendeley readers
| Chapter title |
Big Data Analytics: A Literature Review Paper
|
|---|---|
| Chapter number | 16 |
| Book title |
Advances in Data Mining. Applications and Theoretical Aspects
|
| Published by |
Springer, Cham, July 2014
|
| DOI | 10.1007/978-3-319-08976-8_16 |
| Book ISBNs |
978-3-31-908975-1, 978-3-31-908976-8
|
| Authors |
Nada Elgendy, Ahmed Elragal, Elgendy, Nada, Elragal, Ahmed |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 900 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | <1% |
| Germany | 1 | <1% |
| Malaysia | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Bosnia and Herzegovina | 1 | <1% |
| Unknown | 893 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 156 | 17% |
| Student > Ph. D. Student | 113 | 13% |
| Student > Bachelor | 73 | 8% |
| Researcher | 35 | 4% |
| Student > Doctoral Student | 33 | 4% |
| Other | 104 | 12% |
| Unknown | 386 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 193 | 21% |
| Business, Management and Accounting | 114 | 13% |
| Engineering | 82 | 9% |
| Social Sciences | 28 | 3% |
| Economics, Econometrics and Finance | 18 | 2% |
| Other | 59 | 7% |
| Unknown | 406 | 45% |