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Post-Processing of Data Mining Results

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Part of the book series: Massive Computing ((MACO,volume 1))

Abstract

In the information-theoretic network (see Chapter 3 above), each connection between a terminal (unsplit / final layer) node and a target node represents a probabilistic rule between a conjunction of input attribute-values and a target value. An information-theoretic weight of each rule is given by:

$$ w_z^{ij} = P({V_{ij;}}z) \bullet \log \frac{{P({V_{ij}}/z)}}{{P({V_{ij}})}} $$

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© 2001 Springer Science+Business Media Dordrecht

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Maimon, O., Last, M. (2001). Post-Processing of Data Mining Results. In: Knowledge Discovery and Data Mining. Massive Computing, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3296-2_4

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  • DOI: https://doi.org/10.1007/978-1-4757-3296-2_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4842-7

  • Online ISBN: 978-1-4757-3296-2

  • eBook Packages: Springer Book Archive

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