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Mendeley readers
Chapter title |
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem
|
---|---|
Chapter number | 43 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-46133-1_43 |
Book ISBNs |
978-3-03-046132-4, 978-3-03-046133-1
|
Authors |
Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak, de Oliveira da Costa, Paulo Roberto, Rhuggenaath, Jason, Zhang, Yingqian, Akcay, Alp, Lee, Wan-Jui, Kaymak, Uzay |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 53% |
Student > Master | 4 | 27% |
Student > Bachelor | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 27% |
Engineering | 4 | 27% |
Arts and Humanities | 1 | 7% |
Physics and Astronomy | 1 | 7% |
Economics, Econometrics and Finance | 1 | 7% |
Other | 2 | 13% |
Unknown | 2 | 13% |