alexa Visualization and Bayesian Nets to link Business Aims.
Engineering

Engineering

Journal of Information Technology & Software Engineering

Author(s): Keith Rennolls

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If the full CRISP DM life-cycle is to be implemented then there needs to be a means by which business logic, understanding and aims can be directly related to the DM and KDD modelling process, and then onto deployment. Several graphical ways of representing data and models are considered: the E-R diagram, linked data and model ontologies, and graphicalmodel/ Bayesian-net dependency diagrams. It is suggested that the provision of graphical tools for the domain expert to express their prior knowledge, understanding and aims is the best way of linking these to the DM & KDD process and subsequent deployment of discovered knowledge.

This article was published in Seventeenth International Conference on Database and Expert Systems Applications and referenced in Journal of Information Technology & Software Engineering

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