Enhanced Bayesian Network Models for Spatial Time Series Prediction Recent Research Trend in Data-Driven Predictive Analytics /
| Main Authors: | , |
|---|---|
| מחבר תאגידי: | |
| סיכום: | XXIII, 149 p. 67 illus., 59 illus. in color. text |
| שפה: | אנגלית |
| יצא לאור: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
|
| מהדורה: | 1st ed. 2020. |
| סדרה: | Studies in Computational Intelligence,
858 |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1007/978-3-030-27749-9 |
| פורמט: | אלקטרוני ספר |
תוכן הענינים:
- 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.