Rough Set Theory: A True Landmark in Data Analysis

Rough Set Theory: A True Landmark in Data Analysis edited by Ajith Abraham, Rafael Falcón, Rafael Bello.

Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Abraham, Ajith (Editor), Falcón, Rafael (Editor), Bello, Rafael (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Studies in Computational Intelligence, 174
Springer eBook Collection.
Subjects:
Computer-aided engineering.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Login for hold information

‌

Click to view e-book

Online

Holdings details from Online
Call Number: E-Book
Copy 1 Available

Similar Items