Machine Learning and Data Mining Approaches to Climate Science
Springer International Publishing
Chapter title |
Using Causal Discovery Algorithms to Learn About Our Planet’s Climate
|
---|---|
Chapter number | 11 |
Book title |
Machine Learning and Data Mining Approaches to Climate Science
|
Published by |
Springer, Cham, January 2015
|
DOI | 10.1007/978-3-319-17220-0_11 |
Book ISBNs |
978-3-31-917219-4, 978-3-31-917220-0
|
Authors |
Imme Ebert-Uphoff, Yi Deng |
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Professor | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Student > Master | 1 | 10% |
Researcher | 1 | 10% |
Other | 0 | 0% |
Unknown | 3 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 30% |
Computer Science | 1 | 10% |
Physics and Astronomy | 1 | 10% |
Earth and Planetary Sciences | 1 | 10% |
Unknown | 4 | 40% |