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A Duality Relationship Between Boolean Functions in CNF and DNF Derivable from the Same Training Examples

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

Author

Listed:
  • Evangelos Triantaphyllou

    (Louisiana State University)

Abstract

This chapter discusses a useful relationship between the CNF and DNF forms of the Boolean functions derivable from the same training data. This relationship can benefit approaches which attempt to solve large Boolean function inference problems and use either the CNF or the DNF form in representing a Boolean function.

Suggested Citation

  • Evangelos Triantaphyllou, 2010. "A Duality Relationship Between Boolean Functions in CNF and DNF Derivable from the Same Training Examples," Springer Optimization and Its Applications, in: Data Mining and Knowledge Discovery via Logic-Based Methods, chapter 0, pages 147-150, Springer.
  • Handle: RePEc:spr:spochp:978-1-4419-1630-3_7
    DOI: 10.1007/978-1-4419-1630-3_7
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