SCIENTIFIC STUDY OF RELIGION IN VEXILLOLOGY

Examining the knowledge discovery of worldly flags, this article explores the vexillological use of realistic and abstract presentations of assorted features observed in flags with its association towards religion of an underlying nation. This study raised questions such as: What is the connection of religion in relation to motley of colours, symbols and styles in the flags of a country. How can we express the connection of these parameters to the major religion of any nation. We obtained flags dataset from UCI machine learning repository and applied machine learning techniques of classification to investigate these question of relationship. While doing so, it was necessary to draw a probabilistic model to optimize data fitting in the model. The model is based on Bayesian Belief Network (BBN) in structure learning. The digging of the dataset comes up with some interesting facts and patterns.