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Knowledge Discovery Process Models: From Traditional to Agile Modeling

Knowledge Discovery Process Models: From Traditional to Agile Modeling

Mouhib Alnoukari, Asim El Sheikh
Copyright: © 2012 |Pages: 29
ISBN13: 9781613500507|ISBN10: 1613500505|EISBN13: 9781613500514
DOI: 10.4018/978-1-61350-050-7.ch004
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MLA

Alnoukari, Mouhib, and Asim El Sheikh. "Knowledge Discovery Process Models: From Traditional to Agile Modeling." Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications, edited by Asim Abdel Rahman El Sheikh and Mouhib Alnoukari, IGI Global, 2012, pp. 72-100. https://doi.org/10.4018/978-1-61350-050-7.ch004

APA

Alnoukari, M. & El Sheikh, A. (2012). Knowledge Discovery Process Models: From Traditional to Agile Modeling. In A. Rahman El Sheikh & M. Alnoukari (Eds.), Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications (pp. 72-100). IGI Global. https://doi.org/10.4018/978-1-61350-050-7.ch004

Chicago

Alnoukari, Mouhib, and Asim El Sheikh. "Knowledge Discovery Process Models: From Traditional to Agile Modeling." In Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications, edited by Asim Abdel Rahman El Sheikh and Mouhib Alnoukari, 72-100. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-050-7.ch004

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Abstract

Knowledge Discovery (KD) process model was first discussed in 1989. Different models were suggested starting with Fayyad’s et al (1996) process model. The common factor of all data-driven discovery process is that knowledge is the final outcome of this process. In this chapter, the authors will analyze most of the KD process models suggested in the literature. The chapter will have a detailed discussion on the KD process models that have innovative life cycle steps. It will propose a categorization of the existing KD models. The chapter deeply analyzes the strengths and weaknesses of the leading KD process models, with the supported commercial systems and reported applications, and their matrix characteristics.

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