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Decisional Annotations: Integrating and Preserving Decision-Makers' Expertise in Multidimensional Systems

Decisional Annotations: Integrating and Preserving Decision-Makers' Expertise in Multidimensional Systems

Guillaume Cabanac, Max Chevalier, Franck Ravat, Olivier Teste
Copyright: © 2010 |Pages: 17
ISBN13: 9781605667485|ISBN10: 160566748X|ISBN13 Softcover: 9781616924522|EISBN13: 9781605667492
DOI: 10.4018/978-1-60566-748-5.ch004
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MLA

Cabanac, Guillaume, et al. "Decisional Annotations: Integrating and Preserving Decision-Makers' Expertise in Multidimensional Systems." Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications, edited by Tho Manh Nguyen, IGI Global, 2010, pp. 65-81. https://doi.org/10.4018/978-1-60566-748-5.ch004

APA

Cabanac, G., Chevalier, M., Ravat, F., & Teste, O. (2010). Decisional Annotations: Integrating and Preserving Decision-Makers' Expertise in Multidimensional Systems. In T. Nguyen (Ed.), Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications (pp. 65-81). IGI Global. https://doi.org/10.4018/978-1-60566-748-5.ch004

Chicago

Cabanac, Guillaume, et al. "Decisional Annotations: Integrating and Preserving Decision-Makers' Expertise in Multidimensional Systems." In Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications, edited by Tho Manh Nguyen, 65-81. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-748-5.ch004

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Abstract

This chapter deals with an annotation-based decisional system. The decisional system the authors present is based on multidimensional databases, which are composed of facts and dimensions. The expertise of decision-makers is modeled, shared and stored through annotations. These annotations allow decision-makers to carry on active analysis and to collaborate with other decision-makers on a common analysis.

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