Knowledge Discovery Process Models: From Traditional to Agile Modeling

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Author(s): Mouhib Alnoukari (Arab International University, Syria)and Asim El Sheikh (Arab Academy for Banking and Financial Sciences, Jordan)
Copyright: 2012
Pages: 29
Source title: Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications
Source Author(s)/Editor(s): Asim Abdel Rahman El Sheikh (The Arab Academy for Banking and Financial Sciences, Jordan)and Mouhib Alnoukari (Arab International University, Syria)
DOI: 10.4018/978-1-61350-050-7.ch004

Keywords: Business & Management / Business Information Systems / Business Intelligence / Business Science Reference

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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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