Some Application Issues of Monotone Boolean Functions

Evangelos Triantaphyllou ()
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Evangelos Triantaphyllou: Louisiana State University

Chapter Chapter 11 in Data Mining and Knowledge Discovery via Logic-Based Methods, 2010, pp 229-239 from Springer

Abstract: Abstract The property of sub monotonicity 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 sub data mining sub knowledge discovery, see data mining knowledge discovery applications. The following developments are based on the work described in [ aut Kovalerchuk, B. Kovalerchuk, aut Vityaev, E. Vityaev, and aut Triantaphyllou, E. Triantaphyllou, 1996] and [ aut Kovalerchuk, B. Kovalerchuk, aut Triantaphyllou, E. Triantaphyllou, and aut Vityaev, E. Vityaev, 1995].

Keywords: Boolean Function; Border Area; Negative Class; Positive Class; Data Mining Model (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4419-1630-3_11

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DOI: 10.1007/978-1-4419-1630-3_11

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