Abstract
In this book, we have developed a novel, information-theoretic fuzzy approach to the process of Knowledge Discovery in Databases (KDD). This is a unified framework for the main stages of knowledge discovery like discretization, dimensionality reduction, prediction and classification, rule extraction, and data cleaning. The knowledge, discovered in data, is represented in the form of an Information-Fuzzy Network (IFN).
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© 2001 Springer Science+Business Media Dordrecht
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Maimon, O., Last, M. (2001). Summary and Some Open Problems. In: Knowledge Discovery and Data Mining. Massive Computing, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3296-2_9
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DOI: https://doi.org/10.1007/978-1-4757-3296-2_9
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4842-7
Online ISBN: 978-1-4757-3296-2
eBook Packages: Springer Book Archive