Abstract
This chapter gives a description of data mining and its methodology. First, the definition of data mining along with the purposes and growing needs for such a technology are presented. A six-step methodology for data mining is then presented and discussed. The goals and methods of this process are then explained, coupled with a presentation of a number of techniques that are making the data-mining process faster and more reliable. These techniques include the use of neural networks and genetic algorithms, which are presented and explained as a way to overcome several complexity problems that the data-mining process possesses. A deep survey of the literature is done to show the various purposes and achievements that these techniques have brought to the study of data mining.
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Kamrani, A.K., Gonzalez, R. (2008). Data-Mining Process Overview. In: Kamrani, A.K., Nasr, E.S.A. (eds) Collaborative Engineering. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-47321-5_5
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DOI: https://doi.org/10.1007/978-0-387-47321-5_5
Publisher Name: Springer, Boston, MA
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