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Journal Articles International Journal of Data Warehousing and Mining (IJDWM) Year : 2016

OLAP Analysis Operators for Multi-state Data Warehouses

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.
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Dates and versions

hal-04303256 , version 1 (23-11-2023)

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Franck Ravat, Jiefu Song, Olivier Teste. OLAP Analysis Operators for Multi-state Data Warehouses. International Journal of Data Warehousing and Mining (IJDWM), 2016, 12 (4), pp.20-53. ⟨10.4018/IJDWM.2016100102⟩. ⟨hal-04303256⟩
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