Abstract
The knowledge discovery process consists of phases such data warehousing, pre-processing, data mining and post-processing. These phases are discussed in this Chapter, with the exception of the core phase of data mining, which is discussed separately in the next Chapter. Concerning pre-processing, we focus on attribute selection and on discretization. Concerning post-processing, we focus on rule-set refinement techniques.
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© 2000 Springer Science+Business Media New York
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Freitas, A.A., Lavington, S.H. (2000). The Knowledge Discovery Process. In: Mining Very Large Databases with Parallel Processing. The Kluwer International Series on Advances in Database Systems, vol 9. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5521-6_4
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DOI: https://doi.org/10.1007/978-1-4615-5521-6_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7523-4
Online ISBN: 978-1-4615-5521-6
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