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ISCI
1998
139views more  ISCI 1998»
13 years 4 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan
RSFDGRC
1999
Springer
194views Data Mining» more  RSFDGRC 1999»
13 years 9 months ago
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse,...
RSFDGRC
1999
Springer
140views Data Mining» more  RSFDGRC 1999»
13 years 9 months ago
A Rough Set-Based Approach to Text Classification
Alexios Chouchoulas, Qiang Shen
TRS
2008
13 years 4 months ago
Generalized Indiscernibility Relations: Applications for Missing Values and Analysis of Structural Objects
In this paper, we discuss an approach to structural objects based on a generalisation of indiscernibility relation used in rough set theory. The existing results in rough set theor...
Wojciech Jaworski