OLAP Visualization Operator for Complex Data
| Autor: | Sabine Loudcher, Omar Boussaïd |
|---|---|
| Přispěvatelé: | Loudcher, Sabine, Springer, Equipe de Recherche en Ingénierie des Connaissances (ERIC), Université Lumière - Lyon 2 (UL2) |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
OLAP [SHS.INFO]Humanities and Social Sciences/Library and information sciences InformationSystems_DATABASEMANAGEMENT Data Mining [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB] Complex Data [SHS.INFO] Humanities and Social Sciences/Library and information sciences Visualization |
| Zdroj: | 23rd International Conference on Advanced Information Systems Engineering-Forum (CAISE'11) 23rd International Conference on Advanced Information Systems Engineering-Forum (CAISE'11), Jun 2011, London, United Kingdom. pp.139-146 HAL |
| Popis: | International audience; 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). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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