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OLAP Analysis Operators for Multi-state Data Warehouses

Ravat, Franck and Song, Jiefu and Teste, Olivier OLAP Analysis Operators for Multi-state Data Warehouses. (2016) International Journal of Data Warehousing and Mining, 12 (4). 54-74. ISSN 1548-3924

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Official URL: http://dx.doi.org/10.4018/IJDWM.2016100102

Abstract

Data reduction in Multidimensional Data Warehouses (MDWs) allows increasing the efficiency of analysis and facilitating decision-makers' tasks. In this paper, we model a MDW containing reduced data through a set of states. Each state is valid for a certain period of time; it contains only useful information according to decision-makers' needs. In order to carry out analyses in a MDW composed of multiple states, an extension of traditional OLAP analysis operators is required. In this paper, we define a set of OLAP operators compatible with reduced MDWs. For each operator, we propose a user-oriented definition along with an algorithmic translation. To show the feasibility and the efficiency of the proposed concepts, we implement the analysis operators in an R-OLAP framework.

Item Type:Article
Additional Information:Thanks to ACM editor. The definitive version is available at http://dl.acm.org This papers appears in International Journal of Data Warehousing and Mining ISBN 1548-3924 The original PDF is available at: http://dl.acm.org/citation.cfm?id=3033600
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:11 May 2017 13:01

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