Neural and rough set based data mining methods in engineering

Authors:
Anna L. Buczak;Wojciech Ziarko
Affiliations:
Senior Member of Research Staff, Philips Research, Briarcliff Manor, New York;Professor of Computer Science, University of Regina, Canada
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

This chapter reviews data mining methods used in engineering. It addresses neural network, neural-fuzzy, neural-genetic, and rough set methods. The peculiarities of engineering data, as well as how these properties influence the data mining process, are described. Multiple real-world engineering applications of data mining are addressed.