Rough Sets and Data Mining Analysis of Imprecise Data

Rough Sets and Data Mining Analysis of Imprecise Data / edited by T.Y. Lin, N. Cercone.

Rough Sets and Data Mining: Analysis of Imprecise Data 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 reasoning about vague, unc...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lin, T.Y (Editor), Cercone, N. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1997.
Edition:1st ed. 1997.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Data structures (Computer science).
Mathematical logic.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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