Paper Info
Title
FB-STEP: A fuzzy Bayesian network based data-driven framework for spatio-temporal prediction of climatological time series data.
Abstract
•This work proposes a data-driven framework for spatio-temporal prediction (FB-STEP).•FB-STEP attempts to address three major challenges in climatological prediction.•FB-STEP is based on combined fuzzy Bayesian and multifractal analysis technique.•Validation has been made by predicting climatic condition for five cities in India.•Study shows improved performance of FB-STEP compared to state-of-the-art methods.
Year
DOI
Venue
2019
10.1016/j.eswa.2018.08.057
Expert Systems with Applications
Keywords
Field
DocType
Spatio-temporal analysis,Multivariate prediction,Computational intelligence,Fuzzy Bayesian network,Multifractal analysis,Climatic time series
Data mining,Time series,Bayesian inference,Uncertainty quantification,Intelligent decision support system,Computational intelligence,Computer science,Fuzzy logic,Bayesian network,Artificial intelligence,Machine learning,Bayesian probability
Journal
Volume
ISSN
Citations 
117
0957-4174
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Monidipa Das1219.31
Soumya Kanti Ghosh234539.91