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Synthesizing Some Extreme Association Rules from Multiple Databases

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Advances in Knowledge Discovery in Databases

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 79))

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Abstract

The model of local pattern analysis provides sound solutions to many multi-database mining problems. In this chapter, we discuss different types of extreme association rules in multiple databases viz., heavy association rule , high-frequency association rule , low-frequency association rule, and exceptional association rule .

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Correspondence to Animesh Adhikari .

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Adhikari, A., Adhikari, J. (2015). Synthesizing Some Extreme Association Rules from Multiple Databases. In: Advances in Knowledge Discovery in Databases. Intelligent Systems Reference Library, vol 79. Springer, Cham. https://doi.org/10.1007/978-3-319-13212-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-13212-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13211-2

  • Online ISBN: 978-3-319-13212-9

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