Title Statements
- Full title :Big data mining for climate change / Zhihua Zhang, Jianping Li.
Edition Statements
- Publication Date:2019.
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:Amsterdam
- Language:eng
- Publication Date:2019.
The Physical Object
- Description:1 online resource (346 pages)
Edition Identifiers
- ISBN:9780128187043, 0128187042
- oclc:on1311346399
- LC Classification:QC981
- Dewey Decimal:333.7
Table of Contents
Front Cover; Big Data Mining for Climate Change; Copyright; Contents; Preface; 1 Big climate data; 1.1 Big data sources; 1.1.1 Earth observation big data; 1.1.2 Climate simulation big data; 1.2 Statistical and dynamical downscaling; 1.3 Data assimilation; 1.3.1 Cressman analysis; 1.3.2 Optimal interpolation analysis; 1.3.3 Three-dimensional variational analysis; 1.3.4 Four-dimensional variational analysis; 1.4 Cloud platforms; 1.4.1 Cloud storage; 1.4.2 Cloud computing; Further reading; 2 Feature extraction of big climate data; 2.1 Clustering; 2.1.1 K-means clustering.
2.1.2 Hierarchical clustering2.2 Hidden Markov model; 2.3 Expectation maximization; 2.4 Decision trees and random forests; 2.5 Ridge and lasso regressions; 2.6 Linear and quadratic discriminant analysis; 2.6.1 Bayes classi er; 2.6.2 Linear discriminant analysis; 2.6.3 Quadratic discriminant analysis; 2.7 Support vector machines; 2.7.1 Maximal margin classi er; 2.7.2 Support vector classi ers; 2.7.3 Support vector machines; 2.8 Rainfall estimation; 2.9 Flood susceptibility; 2.10 Crop recognition; Further reading; 3 Deep learning for climate patterns; 3.1 Structure of neural networks.
3.2 Back propagation neural net…
Subjects
Writers
No reviews yet. Be the first to rate this work.
Rate & Review