Title :
Reducing the Size of If-Then Rules Generated from Data Tables with Graded Attributes
Author :
Belohlavek, Radim ; Vychodil, Vilem
Author_Institution :
Dept. of Comput. Sci., Palacky Univ., Olomouc
fDate :
Nov. 28 2006-Dec. 1 2006
Abstract :
Presented is a method for reducing the size of if-then rules generated from data tables with graded attributes. Data tables with graded attributes represent data structures describing graded properties of objects. We show a method for generating of particular reduced and minimal set of if-then rules which describe all dependencies which are valid in a given data table with graded attributes. We present theoretical insight, algorithms, and illustrative examples.
Keywords :
data structures; set theory; data structures; data tables; graded attributes; if-then rules; Association rules; Chromium; Computer science; Data mining; Data structures; Databases; Fuzzy logic; Fuzzy set theory; Lattices; Terminology;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2731-0
DOI :
10.1109/CIMCA.2006.173
