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Authors: Alexander Brodsky and Juan Luo

Affiliation: George Mason University, United States

Keyword(s): Decision Support, Decision Guidance, Decision Optimization, Machine Learning, Data Management, Decision Analytics.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Databases and Information Systems Integration ; Enterprise Information Systems ; Group Decision Support Systems ; Query Languages and Query Processing ; Strategic Decision Support Systems

Abstract: Decision guidance systems are a class of decision support systems that are geared toward producing actionable recommendations, typically based on formal analytical models and techniques. This paper proposes the Decision Guidance Analytics Language (DGAL) for easy iterative development of decision guidance systems. DGAL allows the creation of modular, reusable and composable models that are stored in the analytical knowledge base independently of the tasks and tools that use them. Based on these unified models, DGAL supports declarative queries of (1) data manipulation and computation, (2) what-if prediction analysis, (3) deterministic and stochastic decision optimization, and (4) machine learning, all through formal reduction to specialized models and tools, and in the presence of uncertainty.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Brodsky, A. and Luo, J. (2015). Decision Guidance Analytics Language (DGAL) - Toward Reusable Knowledge Base Centric Modeling. In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-096-3; ISSN 2184-4992, SciTePress, pages 67-78. DOI: 10.5220/0005349600670078

@conference{iceis15,
author={Alexander Brodsky. and Juan Luo.},
title={Decision Guidance Analytics Language (DGAL) - Toward Reusable Knowledge Base Centric Modeling},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2015},
pages={67-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005349600670078},
isbn={978-989-758-096-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Decision Guidance Analytics Language (DGAL) - Toward Reusable Knowledge Base Centric Modeling
SN - 978-989-758-096-3
IS - 2184-4992
AU - Brodsky, A.
AU - Luo, J.
PY - 2015
SP - 67
EP - 78
DO - 10.5220/0005349600670078
PB - SciTePress