Digital Library

cab1

 
Title:      TOWARDS A MODEL-DRIVEN ENGINEERING APPROACH OF DATA MINING
Author(s):      Jesús Pardillo , Jose Norberto Mazón , Jose Zubcoff , Juan Trujillo
ISBN:      978-972-8924-63-8
Editors:      Hans Weghorn and Ajith P. Abraham
Year:      2008
Edition:      Single
Keywords:      data mining, data warehouse, model-driven engineering, multidimensional modelling, conceptual modelling
Type:      Short Paper
First Page:      144
Last Page:      147
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      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.
   

Social Media Links

Search

Login