Towards A Model-Driven Engineering Approach of Data Mining

Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling architecture that allows analysts to consider it as a truly software-engineering process. Here, we propose a model-driven approach based on (i) a conceptual modelling framework for data mining, and (ii) a set of model transformations to automatically generate both the data under analysis (via datawarehousing technology) and the analysis models for data mining (tailored to a speci c platform). Thus, analysts can concentrate on the analysis problem via conceptual data-mining models instead of low-level programming tasks related to the underlying-platform technical details. These tasks are now entrusted to the model-transformations scaffolding. KEYWORDS data mining, data warehouse, model-driven engineering, multidimensional modelling, conceptual modelling

• Type: Conference
• Year: 2008
• Where: IADIS
• Authors: Jesús Pardillo, José Jacobo Zubcoff, Jose-Norberto Mazón, Juan Trujillo
• Keywords: Conceptual Modelling, Conceptual Modelling Framework, Data Mining, IADIS 2008, Internet Technology