Title: Exploring eBusiness Readiness Indicators using Bayesian Networks
Authors: MASCHERINI MASSIMILIANO
Citation: Classification and Data Analysis 2007 - Book of Short Papers p. 595-599
Publisher: EUM - Edizioni Universita' di Macerata
Publication Year: 2007
JRC N°: JRC40273
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC40273
Type: Contributions to Conferences
Abstract: A Bayesian network is a graph-based model of joint multivariate probability distributions that captures properties of conditional independence between variables. Such models are an effective way to characterize probabilistic and causal relations among variables and they provide a clear methodology for learning from observations. In this paper we apply structural learning algorithm to explore the conditional independency relations among the eBusiness Readiness Indicators and we discuss the obtained results.
JRC Institute:Institute for the Protection and Security of the Citizen

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