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Timeline
Mendeley readers
Chapter title |
Machine Learning Techniques for Predicting Risks of Late Delivery
|
---|---|
Chapter number | 25 |
Book title |
Data Science and Emerging Technologies
|
Published by |
Springer, Singapore, January 2023
|
DOI | 10.1007/978-981-99-0741-0_25 |
Book ISBNs |
978-9-81-990740-3, 978-9-81-990741-0
|
Authors |
Lolla, Ravikanth, Harper, Matthew, Lunn, Jan, Mustafina, Jamila, Assi, Jolnar, Loy, Chong Kim, Al-Jumeily OBE, Dhiya |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 5 | 19% |
Student > Ph. D. Student | 2 | 8% |
Researcher | 2 | 8% |
Student > Master | 2 | 8% |
Professor | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 5 | 19% |
Business, Management and Accounting | 5 | 19% |
Computer Science | 2 | 8% |
Engineering | 2 | 8% |
Unknown | 12 | 46% |