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Some Application Issues of Monotone Boolean Functions

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Data Mining and Knowledge Discovery via Logic-Based Methods

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 43))

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Abstract

The property of monotonicity has many applications. Its attractive mathematical advantages in inferring a model of the system of interest with high accuracy make the search for this property in data and its consecutive algorithmic exploitation, to be of high potential in data mining and knowledge discovery applications. The following developments are based on the work described in [ Kovalerchuk, Vityaev, and Triantaphyllou, 1996] and [ Kovalerchuk, Triantaphyllou, and Vityaev, 1995].

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Correspondence to Evangelos Triantaphyllou .

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Triantaphyllou, E. (2010). Some Application Issues of Monotone Boolean Functions. In: Data Mining and Knowledge Discovery via Logic-Based Methods. Springer Optimization and Its Applications, vol 43. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1630-3_11

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