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Data Mining Process Models: A Roadmap For Knowledge Discovery

In: Quantitative Modelling in Marketing and Management

Author

Listed:
  • Armando B Mendes
  • Luís Cavique
  • Jorge MA Santos

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.

Suggested Citation

  • Armando B Mendes & Luís Cavique & Jorge MA Santos, 2015. "Data Mining Process Models: A Roadmap For Knowledge Discovery," World Scientific Book Chapters, in: Luiz Moutinho & Kun-Huang Huarng (ed.), Quantitative Modelling in Marketing and Management, chapter 15, pages 363-391, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789814696357_0015
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