Enhanced Bayesian network models for spatial time series prediction : recent research trend in data-driven predictive analytics /: recent research trend in data-driven predictive analytics. ([2020])

Record Type:
Book
Title:
Enhanced Bayesian network models for spatial time series prediction : recent research trend in data-driven predictive analytics /: recent research trend in data-driven predictive analytics. ([2020])
Main Title:
Enhanced Bayesian network models for spatial time series prediction : recent research trend in data-driven predictive analytics
Further Information:
Note: Monidipa Das, Soumya K. Ghosh.
Authors:
Das, Monidipa
Contents:
Introduction.- Standard Bayesian Network Models for Spatial Time Series Prediction.- Bayesian Network with added Residual Correction Mechanism.- Spatial Bayesian Network.- Semantic Bayesian Network.- Advanced Bayesian Network Models with Fuzzy Extension.- Comparative Study of Parameter Learning Complexity.- Spatial Time Series Prediction using Advanced BN Models— An Application Perspective.- Summary and Future Research.
Publisher Details:
Cham, Switzerland : Springer
Publication Date:
2020
Extent:
1 online resource (xxiii, 149 pages)
Subjects:
519.5/5
Time-series analysis
Bayesian statistical decision theory
Languages:
English
ISBNs:
9783030277499
3030277496
Related ISBNs:
3030277488
9783030277482
Notes:
Note: Description based on print version record.
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Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
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British Library HMNTS - ELD.DS.480923
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