期刊
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
卷 8, 期 3, 页码 445-472出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219622009003478
关键词
Data mining; multi-aspect analysis; hepatitis data; spiral discovery process
类别
资金
- Japanese Ministry of Education, Culture, Sports, Science and Technology
When therapy using interferon medication for chronic hepatitis patients, various conceptual knowledge/rules will benefit for giving a treatment. The paper describes our work on cooperatively using various data mining agents including GDT-RS, learning with ordered information (LOI), and peculiarity oriented mining (POM) in a spiral discovery process with the multi-phase such as pre-processing, rule mining, and post-processing, for multi-aspect analysis of the hepatitis data and meta learning. GDT-RS is an inductive learning system for discovering decision rules. LOI discovers ordering rules and important features. POM finds peculiarity data/rules. Our methodology and experimental results show that the perspective of medical doctors will be changed from a single type of experimental data analysis towards a holistic view, by using our multi-aspect mining approach.
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