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Some Application Issues of Monotone Boolean Functions

In: Data Mining and Knowledge Discovery via Logic-Based Methods

Author

Listed:
  • Evangelos Triantaphyllou

    (Louisiana State University)

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].

Suggested Citation

  • Evangelos Triantaphyllou, 2010. "Some Application Issues of Monotone Boolean Functions," Springer Optimization and Its Applications, in: Data Mining and Knowledge Discovery via Logic-Based Methods, chapter 0, pages 229-239, Springer.
    • Handle: RePEc:spr:spochp:978-1-4419-1630-3_11
    DOI: 10.1007/978-1-4419-1630-3_11
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