Title :
Decision rule visualization for knowledge discovery by means of rough set approach
Author :
Ohki, Motoyuki ; Inuiguchi, Masahiro ; Harada, Toshinobu
Author_Institution :
Grad. Sch. of Eng. Sci., Osaka Univ., Osaka, Japan
Abstract :
Recently, the application studies of rough set theory to real problems have been increasing. The discovery of useful decision rules is a key to a success of the rough set applications. However, finding useful decision rules is often difficult when a lot of decision rules are induced by the rough set approach. In this study, we develop a decision rule visualization system for supporting the discovery of useful decision rules. The system visualizes decision rules having same conclusions in three-dimensional coordinate having the vertical axis of co-occurrence rates between atomic formulae and conclusions and two other axes obtained by Hayashi´s quantification method IV using co-occurrence rates between atomic formulae as similarities. An experiment is conducted to evaluate the proposed system. The results show that useful decision rules are discovered efficiently from many decision rules. Moreover, we show the usability of the system by numerical experiments using car data.
Keywords :
data mining; data visualisation; decision theory; rough set theory; Hayashi quantification method; atomic formulae; decision rule visualization system; knowledge discovery; rough set theory; three-dimensional coordinate; Ash; Atomic measurements; Data mining; Data visualization; Rough sets; Vectors; Visualization; Co-Occurrence Rate; Decision Rule; Knowledge Discovery; Rough Sets; Visualization;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122648