Visualization and Bayesian Nets to link Business Aims

Author

Rennolls, Keith

Author_Institution

Sch. of Comput. & Math. Sci., Greenwich Univ., London

fYear

0

fDate

0-0 0

Firstpage

603

Lastpage

607

Abstract

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 graphical-model/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

Keywords

belief networks; business data processing; data mining; data visualisation; diagrams; entity-relationship modelling; ontologies (artificial intelligence); Bayesian-net dependency diagrams; causal-nets; data mining; data visualization; entity-relation diagram; graphical-model; knowledge discovery; linked data; model ontologies; Bayesian methods; Companies; Delta modulation; Joining processes; Knowledge management; Logic; Mathematical model; Ontologies; Project management; Visualization; Bayesian nets; CRISP DM; Data-Mining; E-R modelling; Knowledge-Discovery; causal-nets;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on

Conference_Location

Krakow

ISSN

1529-4188

Print_ISBN

0-7695-2641-1

Type

conf

DOI

10.1109/DEXA.2006.148

Filename

1698414