OLAP Visualization Operator for Complex Data

Sabine Loudcher (1) , Omar Boussaïd (1)

1 ERIC - Equipe de Recherche en Ingénierie des Connaissances

Data warehouses and Online Analysis Processing (OLAP) have acknowledged and efficient solutions for helping in the decisionmaking process. Through OLAP operators, online analysis enables the decision-maker to navigate and view data represented in a multi-dimensional manner. But when the data or objects to be analyzed are complex, it is necessary to redefine and enhance the abilities of the OLAP. In this paper, we suggest combining OLAP and data mining in order to create a new visualization operator for complex data or objects. This operator uses the correspondence analysis method and we call it VOCoDa (Visualization Operator for Complex Data).

Mots clés: OLAP; Data Mining; Visualization; Complex Data

Domaines: Base de données [cs.DB]; Sciences de l'information et de la communication

Sabine Loudcher, Omar Boussaïd. OLAP Visualization Operator for Complex Data. 23rd International Conference on Advanced Information Systems Engineering - Forum (CAISE'11), Jun 2011, London, United Kingdom. pp.139-146. ⟨halshs-00603841⟩