OLAP Visualization Operator for Complex Data

Abstract : 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).
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Communication dans un congrès
Springer. 23rd International Conference on Advanced Information Systems Engineering - Forum (CAISE'11), Jun 2011, London, United Kingdom. pp.139-146, 2011
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https://halshs.archives-ouvertes.fr/halshs-00603841
Contributeur : Sabine Loudcher <>
Soumis le : lundi 27 juin 2011 - 14:54:52
Dernière modification le : mercredi 5 septembre 2018 - 15:21:34

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  • HAL Id : halshs-00603841, version 1

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

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