The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 42-249
Full Name: Chih-Hung Wu
Position: Assistant Professor
Age: ON
Sex: Male
Address: 140, Min-Shen Road, Tai-Chung, 40306 Taiwan, R.O.C.
Country: TAIWAN
Tel: +886-4-22183281
Tel prefix:
Fax:
E-mail address: chwu@ntcu.edu.tw
Other E-mails: prof.chwu@gmail.com
Title of the Paper: A Novel Multi-objective Affinity Set Classification System
Authors as they appear in the Paper: Chih-Hung Wu, Wei-Ting Lin, Wen-Cheng, Wang
Email addresses of all the authors: chwu@ntcu.edu.tw, bit096101@ms3.ntcu.edu.tw, wcwang@cc.hwh.edu.tw
Number of paper pages: 10
Abstract: This paper proposed a novel multi-objective affinity set (MO affinity set) classification system comparing with Ant colony optimization (ACO) and affinity set theory on delayed diagnosis dataset classification. The research result showed that the output of MO affinity set classification rules has the higher accuracy than ACO and traditional affinity set. The output 8 classification rules were used to build up an online medical support system that has the accuracy 80.8%. Furthermore, our MO affinity set classification skips the traditional affinity set k-core method, and has fewer rules. It is better and more easily to apply or to construct a support system if the number of rules is smaller.
Keywords: Multi-objective affinity set (MO affinity set), Affinity Set, Ant colony optimization (ACO), Delayed diagnosis detection support system
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 114.46.199.120
