DATA MINING PROCESS MODELS: A ROADMAP FOR KNOWLEDGE DISCOVERY

Armando B Mendes, Luís Cavique and Jorge MA Santos

Chapter 15 in Quantitative Modelling in Marketing and Management, 2015, pp 363-391 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Data mining applications are common for quantitative modelling management problems resolution. As their learning curve has been very much simplified, is no surprise that many users try to apply data mining methods to data bases in a non-planned way. In this chapter, the CRISP-DM process model methodology is presented with the intention of avoiding common traps in data mining applications utilisation. The use of this methodology is exemplified with serveral cases of application developed by the authors.

Keywords: Quantitative Analysis; Modeling; Marketing Management; Statistical Modelling; Computer Modelling; Memetic Algorithm; Structural Equation Modelling; Artificial Neural Networks (search for similar items in EconPapers)
Date: 2015
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