Intelligent Data Engineering and Automated Learning – IDEAL 2021
Springer International Publishing
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X Demographics
Mendeley readers
| Chapter title |
Drift Detection in Text Data with Document Embeddings
|
|---|---|
| Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2021
|
| Published by |
Springer, Cham, January 2022
|
| DOI | 10.1007/978-3-030-91608-4_11 |
| Book ISBNs |
978-3-03-091607-7, 978-3-03-091608-4
|
| Authors |
Feldhans, Robert, Wilke, Adrian, Heindorf, Stefan, Shaker, Mohammad Hossein, Hammer, Barbara, Ngonga Ngomo, Axel-Cyrille, Hüllermeier, Eyke |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 4 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 29% |
| Engineering | 1 | 14% |
| Unknown | 4 | 57% |