Enhanced Bayesian Network Models for Spatial Time Series Prediction Recent Research Trend in Data-Driven Predictive Analytics /
| Главные авторы: | , |
|---|---|
| Автор-организация: | |
| Примечания: | XXIII, 149 p. 67 illus., 59 illus. in color. text |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Издание: | 1st ed. 2020. |
| Серии: | Studies in Computational Intelligence,
858 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-030-27749-9 |
| Формат: | Электронный ресурс Книга |
Оглавление:
- 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.