The problem of monitoring and managing the data production process by means of process flow indicators is presented in a decision theory framework. Here it is shown how to represent and solve the decision problem via influence diagrams, i.e. Bayesian network supporting decisions. An illustrative example is provided.

Ballin, M., Scau, M., Vicard, P. (2006). Paradata and Bayesian networks: a tool for monitoring and troubleshooting the data production process. In WORKING PAPERS. ROMA : Dipartimento di Economia, Univ. Roma Tre.

Paradata and Bayesian networks: a tool for monitoring and troubleshooting the data production process

VICARD, Paola
2006-01-01

Abstract

The problem of monitoring and managing the data production process by means of process flow indicators is presented in a decision theory framework. Here it is shown how to represent and solve the decision problem via influence diagrams, i.e. Bayesian network supporting decisions. An illustrative example is provided.
2006
Ballin, M., Scau, M., Vicard, P. (2006). Paradata and Bayesian networks: a tool for monitoring and troubleshooting the data production process. In WORKING PAPERS. ROMA : Dipartimento di Economia, Univ. Roma Tre.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/171395
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