Université François Rabelais de Tours (UFRT)Patrick Marcel, Verónika Peralta
Recent efforts to support analytical tasks have pointed out the necessity to come up with flexible, powerful means for analyzing the issued queries and exploit them in decision-oriented processes (such as query recommendation or physical tuning). Issued queries should be decomposed, stored and manipulated in a dedicated subsystem.
For doing so, we first need to represent analytical queries in a rich format that we can exploit later. In this collaboration we propose to represent analytical sessions in terms of a multidimensional algebra. The next step will involve exploiting such constructs to recommend (in an OLAP fashion) new prospects of analysis to the user.
2011 Oscar Romero, Patrick Marcel, Alberto Abelló, Verónika Peralta, Ladjel Bellatreche: Describing Analytical Sessions Using a Multidimensional Algebra. DaWaK 2011