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Mendeley readers
Chapter title |
Measuring Interpretability for Different Types of Machine Learning Models
|
---|---|
Chapter number | 29 |
Book title |
Trends and Applications in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-030-04503-6_29 |
Book ISBNs |
978-3-03-004502-9, 978-3-03-004503-6
|
Authors |
Qing Zhou, Fenglu Liao, Chao Mou, Ping Wang, Zhou, Qing, Liao, Fenglu, Mou, Chao, Wang, Ping |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 25% |
Student > Bachelor | 4 | 17% |
Student > Master | 3 | 13% |
Student > Doctoral Student | 2 | 8% |
Lecturer | 1 | 4% |
Other | 2 | 8% |
Unknown | 6 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 42% |
Earth and Planetary Sciences | 2 | 8% |
Engineering | 2 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 1 | 4% |
Unknown | 7 | 29% |