Title :
Analyzing hepatitis data using ordered information
Author :
Ohshima, Muneaki ; Zhong, Ning ; Yokoi, Hideto ; Yao, Y.Y.
Author_Institution :
Dept. of Inf. Eng., Maebashi Inst. of Technol., Japan
Abstract :
In this paper we describe an ordered information based mining approach called LOI (learning with ordered information), in which the prior knowledge represented by various ordered relations is utilized to discover ordering rules and important attributes for an ordered decision class. Our methodology and experimental results in hepatitis data analysis show that using such prior knowledge improves the quality, confidence, and novelty of discovered knowledge.
Keywords :
data mining; knowledge representation; learning (artificial intelligence); medical administrative data processing; hepatitis data analysis; knowledge representation; learning with ordered information; ordered decision class; ordered information based mining; ordered relation; ordering rule discovery; Computer science; Data analysis; Data mining; Hospitals; Information analysis; Knowledge engineering; Liver diseases; Medical diagnostic imaging; Medical treatment; Problem-solving;
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
DOI :
10.1109/GRC.2005.1547362
