Abstract
This Chapter reviews four major machine learning-based knowledge discovery paradigms, namely Rule Induction, Instance-Based Learning (or Nearest Neighbors), Neural Networks and Genetic Algorithms. For the sake of completeness, this Chapter also reviews On-Line Analytical Processing (OLAP). This latter is a rather less autonomous paradigm for data mining - being based on database concepts rather than machine learning ones - as will be seen later.
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© 2000 Springer Science+Business Media New York
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Freitas, A.A., Lavington, S.H. (2000). Knowledge Discovery Paradigms. 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_3
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DOI: https://doi.org/10.1007/978-1-4615-5521-6_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7523-4
Online ISBN: 978-1-4615-5521-6
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