OLAP Analysis Operators for Multi-state Data Warehouses

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

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Official URL: http://oatao.univ-toulouse.fr/16959/

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
Language: English
Date: 2016
Refereed: Yes
Uncontrolled Keywords: Data reduction - Multidimensional design - OLAP analysis operators
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 26 Mar 2019 13:08
Last Modified: 26 Mar 2019 13:08
URI: http://publications.ut-capitole.fr/id/eprint/29130

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