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Summary and Future Research

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

Abstract

Motivated by the inherent potentials of the probabilistic modeling with Bayesian network (BN), this monograph highlights on some crucial as well as practical issues in spatial time series prediction and the application of enhanced BN models to address the respective challenges. This chapter summarizes the various topics discussed in the present monograph and also puts forward a number of future research directions which have enormous opportunities to further explore BN models for spatial time series prediction.

Keywords

Continuous BN Hierarchical BN Scalability High Performance Computing Structure Learning 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

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

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