Data Warehouse Support for Policy Enforcement Rule Formulation

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Author(s): Deepika Prakash (NIIT University, India)
Copyright: 2019
Pages: 19
Source title: New Perspectives on Information Systems Modeling and Design
Source Author(s)/Editor(s): António Miguel Rosado da Cruz (Polytechnic Institute of Viana do Castelo, Portugal)and Maria Estrela Ferreira da Cruz (Polytechnic Institute of Viana do Castelo, Portugal)
DOI: 10.4018/978-1-5225-7271-8.ch011

Keywords: Data Warehousing / Information Science Reference / Library & Information Science / Systems and Software Engineering

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Abstract

It is believed that a data warehouse is for operational decision making. Recently, a proposal was made to support decision making for formulating policy enforcement rules that enforce policies. These rules are expressed in the WHEN-IF-THEN form. Guidelines are proposed to elicit two types of actions, triggering actions that cause the policy violation and the corresponding correcting actions. The decision-making problem is that of selecting the most appropriate correcting action in the event of a policy violation. This selection requires information. The elicited information is unstructured and is “early.” This work is extended by proposing a method to directly convert early information into its multi-dimensional form. For this, an early information mode is proposed. The proposed conversion process is a fully automated one. Further, the tool support is extended to accommodate the conversion process. The authors also apply the method to a health domain.

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Data Warehouse Support for Policy Enforcement Rule Formulation

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