A Bayesian network based decision support system

2014 ◽  
Author(s):  
Wen-Hsin Chen ◽  
Wei-Hua Andrew Wang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Bayesian Network ◽  
Support System

A Decision Support System for Vine Growers Based on a Bayesian Network

2015 ◽  
Vol 21 (1) ◽  
pp. 131-151 ◽  
Author(s):  
Philippe Abbal ◽  
Jean-Marie Sablayrolles ◽  
Éric Matzner-Lober ◽  
Jean-Michel Boursiquot ◽  
Cedric Baudrit ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Bayesian Network ◽  
Support System

A Proactive Decision Support System for Online Event Streams

2018 ◽  
Vol 17 (06) ◽  
pp. 1891-1913 ◽  
Author(s):  
Yongheng Wang ◽  
Xiaozan Zhang ◽  
Zengwang Wang
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Decision Support System ◽  
Data Processing ◽  
Bayesian Network ◽  
Support System ◽  
Sequential Decision ◽  
Big Data Processing ◽  
Future System ◽  
System States

In-stream big data processing is an important part of big data processing. Proactive decision support systems can predict future system states and execute some actions to avoid unwanted states. In this paper, we propose a proactive decision support system for online event streams. Based on Complex Event Processing (CEP) technology, this method uses structure varying dynamic Bayesian network to predict future events and system states. Different Bayesian network structures are learned and used according to different event context. A networked distributed Markov decision processes model with predicting states is proposed as sequential decision making model. A Q-learning method is investigated for this model to find optimal joint policy. The experimental evaluations show that this method works well for congestion control in transportation system.

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