Machine Learning and Data Mining Approaches to Climate Science
Springer International Publishing
Chapter title |
Machine Learning Methods for ENSO Analysis and Prediction
|
---|---|
Chapter number | 2 |
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_2 |
Book ISBNs |
978-3-31-917219-4, 978-3-31-917220-0
|
Authors |
Carlos H. R. Lima, Upmanu Lall, Tony Jebara, Anthony G. Barnston |
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Researcher | 3 | 25% |
Professor | 1 | 8% |
Student > Master | 1 | 8% |
Student > Bachelor | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 3 | 25% |
Earth and Planetary Sciences | 2 | 17% |
Engineering | 2 | 17% |
Physics and Astronomy | 1 | 8% |
Unknown | 4 | 33% |