@article{publications29130,
          volume = {12},
          number = {4},
          author = {Franck Ravat and Jiefu Song and Olivier Teste},
           title = {OLAP Analysis Operators for Multi-state Data Warehouses},
       publisher = {Idea Group},
         journal = {International Journal of Data Warehousing and Mining},
           pages = {54--74},
            year = {2016},
        keywords = {Data reduction - Multidimensional design - OLAP analysis operators},
             url = {https://publications.ut-capitole.fr/id/eprint/29130/},
        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.}
}