New Learning Models for Generating Classification Rules Based on Rough Set Approach

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New Learning Models for Generating Classification Rules Based on Rough Set Approach

Data sets, static or dynamic, are very important and useful for presenting real life features in different aspects of industry, medicine, economy, and others. Recently, different models were used to generate knowledge from vague and uncertain data sets such as induction decision tree, neural netw...

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Bibliographic Details
Main Author:	Al Shalabi, Luai Abdel Lateef
Format:	Thesis
Language:	English English
Published:	2000
Subjects:	Classification rules - Methodology
Online Access:	http://psasir.upm.edu.my/id/eprint/9646/ http://psasir.upm.edu.my/id/eprint/9646/1/FSKTM_2000_2_IR.pdf

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