Indian Journal of Innovations and Developments

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A Bayesian Network represents the variables of interest of a problem domain and the causal relationships between them in a graphical form, and inferences can be made from the structure using the theory of Bayesian Probability. In this paper, we model the environment in relation to the socio-economic condition of the craft artisan workers and the owner craftsmen of silver filigree industry in Odisha in the form of a Bayesian Network. From this network, we make important inferences for diagnosis and prognosis so as to explain the present conditions of the silversmiths in silver city of Cuttack and also the ways to improve their existing conditions.

Keywords

Bayesian Networks, Probabilistic Modeling, IT in Society, Urban Informal Sector, Craft Artisans, Work Culture
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