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Publishing Centre \ 1999 \ 887 - Abstract Site Map  

887 - Abstract

 

1999

 

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Jaroslaw Stepaniuk

Knowledge discovery by application of rough set models

887

Abstract

The amount of electronic data available is growing very fast and this explosive growth in databases has generated a need for new techniques and tools that can intelligently and automatically extract implicit, previously unknown, hidden and potentially useful information and knowledge from these data. These tools and techniques are the subject of the field of Knowledge Discovery in Databases. In this paper we discuss selected rough set based solutions to two main knowledge discovery problems, namely the description problem and the classification problem.


Key words: knowledge discovery, rough sets.

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