Enhanced Bayesian Network Models for Spatial Time Series Prediction Recent Research Trend in Data-Driven Predictive Analytics /
| 主要な著者: | , |
|---|---|
| 団体著者: | |
| 要約: | XXIII, 149 p. 67 illus., 59 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| 版: | 1st ed. 2020. |
| シリーズ: | Studies in Computational Intelligence,
858 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-030-27749-9 |
| フォーマット: | 電子媒体 図書 |
目次:
- 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.