Spatial Time Series Prediction Using Advanced BN Models—An Application Perspective

  • Monidipa DasEmail author
  • Soumya K. Ghosh
Part of the Studies in Computational Intelligence book series (SCI, volume 858)


While the previous chapters keep focus on the working principles and performances of variants of enhanced BN models, this chapter presents the BN models from the perspective of various applications of spatial time series prediction. Eight different application domains including medical imaging, remote sensing , transportation, bio-informatics, homeland security, environment/ecology, finance/economy, etc. have been considered for this purpose. Later, the chapter also discusses on the synergism of enhanced BN models to handle more complex ST prediction scenarios in real life. We anticipate that the chapter will help researchers to find out several interesting research issues yet to be resolved and will also encourage them to further explore the intrinsic power of BNs to tackle the same.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology KharagpurKharagpurIndia

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