The course is focused on the introduction to the theory of fuzzy sets and their application in practice. Then, foundations of the theory of decision making in a situation without risk and in a situation with risk are discussed. Second half of the course is devoted to the fractal and chaos theory.
Ukončeno v akademickém roce 2018/2019
GeoComputation
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 548-0083/01 |
| Abbreviation | GC |
| Course title | GeoComputation |
| Credits | 5 |
| Coordinating department | Department of Geoinformatics |
| Course coordinator | prof. Ing. Jiří Horák, Dr. |
Osnova předmětu
Povinná literatura
AWANGE, J.M., PALÁNCZ, B., LEWIS, R.H., VOLGYESI, L. Mathematical geosciences. Springer Berlin Heidelberg, New York, NY, 2017.
BRAMER, M.A. Principles of data mining. Springer, London, 2020.
KANEVSKI M. F., Poudnoukhov A., Timonin V. Machine learning for spatial environmental data. CRC Press 2009. 377 s., 978-0-8493-8237-6
ZAKI, M.J., MEIRA, W. Data mining and machine learning: fundamental concepts and algorithms. Cambridge University Press, Cambridge, United Kingdom, 2020; New York, NY.
BRAMER, M.A. Principles of data mining. Springer, London, 2020.
KANEVSKI M. F., Poudnoukhov A., Timonin V. Machine learning for spatial environmental data. CRC Press 2009. 377 s., 978-0-8493-8237-6
ZAKI, M.J., MEIRA, W. Data mining and machine learning: fundamental concepts and algorithms. Cambridge University Press, Cambridge, United Kingdom, 2020; New York, NY.
Doporučená literatura
BRUNTON, S.L., KUTZ, J.N. Data-driven science and engineering: machine learning, dynamical systems, and control. Cambridge University Press, Cambridge, 2019.
DAUPHINÉ, André. Fractal Geography. Wiley, 2012. ISBN 978-1-84821-328-9.
KANEVSKI M. F. Advanced mapping of environmental data : geostatistics, machine learning and Bayesian maximum entropy. ISTE 2008. 313 s., 978-1-84821-060-8
MILLER H. J., HAN J. Geographic Data Mining and Knowledge Discovery. Chapman & Hall/CRC, 2009.
DAUPHINÉ, André. Fractal Geography. Wiley, 2012. ISBN 978-1-84821-328-9.
KANEVSKI M. F. Advanced mapping of environmental data : geostatistics, machine learning and Bayesian maximum entropy. ISTE 2008. 313 s., 978-1-84821-060-8
MILLER H. J., HAN J. Geographic Data Mining and Knowledge Discovery. Chapman & Hall/CRC, 2009.