Machine Learning and Data Mining Approaches to Climate Science
Springer International Publishing
Chapter title |
Identifying Developing Cloud Clusters Using Predictive Features
|
---|---|
Chapter number | 20 |
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_20 |
Book ISBNs |
978-3-31-917219-4, 978-3-31-917220-0
|
Authors |
Chaunté W. Lacewell, Abdollah Homaifar |
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 30% |
Student > Master | 5 | 14% |
Researcher | 4 | 11% |
Professor | 3 | 8% |
Student > Bachelor | 2 | 5% |
Other | 2 | 5% |
Unknown | 10 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 19% |
Earth and Planetary Sciences | 5 | 14% |
Computer Science | 4 | 11% |
Environmental Science | 4 | 11% |
Physics and Astronomy | 2 | 5% |
Other | 4 | 11% |
Unknown | 11 | 30% |