Rough Sets and Data Mining : Analysis of Imprecise Data /

<Em>Rough Sets and Data Mining: Analysis of Imprecise Data</em> is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reaso...

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Bibliographic Details

Main Author:	Lin, T. Y.
Corporate Author:	SpringerLink (Online service)
Other Authors:	Cercone, N.
Format:	eBook
Language:	English
Published:	Boston, MA : Springer US, 1996.
Subjects:	Computer science. Data structures (Computer science) Artificial intelligence. Logic, Symbolic and mathematical. Electronic books.
Online Access:	Connect to the full text of this electronic book