Rough Sets in Knowledge Discovery 2 : Applications, Case Studies and Software Systems / Ed. : Lech Polkowski, Andrzej Skowron

Contributor(s): Material type: TextTextLanguage: English Publication details: N.Y. : Physica-Verlag , 1998Description: 601 pOther title:
  • Rough sets in knowledge discovery two
Subject(s): DDC classification:
  • 005 ROU(2) 1998 21
Contents:
Applications -- Case Studies -- Hybrid Approaches -- Appendix 1: Rough Set Bibliography -- Appendix 2: Software Systems.
Summary: The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.
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Applications -- Case Studies -- Hybrid Approaches -- Appendix 1: Rough Set Bibliography -- Appendix 2: Software Systems.

The ideas and techniques worked out in Rough Set Theory allow for knowledge reduction and to finding near - to - functional dependencies in data. This fact determines the importance of these techniques for the rapidly growing field of knowledge discovery. Volume 1 and 2 will bring together articles covering the present state of the methods developed in this field of research. Among the topics covered we may mention: rough mereology and rough mereological approach to knowledge discovery in distributed systems; discretization and quantization of attributes; morphological aspects of rough set theory; analysis of default rules in the framework of rough set theory.

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