Zubcoff, Jose, Pardillo Vela, Jesús, Mazón, Jose-Norberto, Trujillo, Juan
Integrating the development of data mining and data warehouses via model-driven engineering
ZUBCOFF, José, et al. "Integrating the development of data mining and data warehouses via model-driven engineering". Actas de los Talleres de las Jornadas de Ingeniería del Software y Bases de Datos. Vol. 2, No. 1 (2008). ISSN 1988-3455, pp. 75-86
URI: http://hdl.handle.net/10045/21178
DOI: 
ISSN: 1988-3455
Abstract: 
Data mining is one of the most important analysis techniques to automatically extract knowledge from large amount of data. Nowadays, data mining is based on low-level specifications of the employed techniques typically bounded to a specific analysis platform. Therefore, data mining lacks a modelling architecture that allows analysts to consider it as a truly software-engineering process. Bearing in mind this situation, we propose a model-driven approach which is 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 (that is deployed via data-warehousing technology) and the analysis models for data mining (tailored to a specific platform). Thus, analysts can concentrate on understanding the analysis problem via conceptual data-mining models instead of wasting efforts on low-level programming tasks related to the underlying-platform technical details. These time consuming tasks are now entrusted to the model-transformations scaffolding. The feasibility of our approach is shown by means of a hypothetical data-mining scenario where a time series analysis is required.
Keywords:Data mining, Data warehouse, Model-driven engineering, Model transformation, Multidimensional modelling, Conceptual modelling
Sociedad de Ingeniería del Software y Tecnologías de Desarrollo del Software (SISTEDES)
info:eu-repo/semantics/article