Plenary Lecture
Data Mining in Medicine Domain Using Decision Trees - The Case of CART and C4.5
Professor Hyontai Sug
Division of Computer and Information Engineering
Dongseo University
Korea
E-mail: sht@gdsu.dongseo.ac.kr
Abstract: Comprehensibility of decision trees is a good ingredient for data mining of data sets in medicine domain. Decision trees can be very useful data mining tools to diagnose disease, because the knowledge structure is represented in tree shape so that human expert could interpret the data well for more accurate diagnosis and better understanding of major factors in diagnosing the disease. For better knowledge in diagnosing disease CART that has been considered very good decision tree generator in medicine domain is investigated. Integrating several data sets from different sources is a major task in data mining for more significant discovery. In this sense, CART could be very a useful tool for the task. CART uses surrogate variables for missing values so that it might be good for the cases of integrating different set of data records where some uncommon features exist. The performance of CART is compared that of C4.5 which is more favored decision tree algorithm in other domains than CART. Different data sets in medicine domain are used to compare the performance of the two decision tree algorithms.
Brief Biography of the Speaker: Dr. Hyontai Sug: received BS degree in computer science and statistics from Busan National University, Korea in 1983, and MS degree in applied computer science from Hankuk University of Foreign Studies, Korea in 1986, majoring natural language processing, and Ph.D. degree in computer and information science and engineering from University of Florida, USA in 1998, majoring data mining. He was a researcher of Agency for Defense Development, Korea from 1986 to 1992, and a full-time lecturer of Pusan University of Foreign Studies, Korea from 1999 to 2001. Currently, he is an associate professor of Dongseo University, Korea from 2001. He published several noticeable articles in the field of data mining, so that he has been listed in Marquis who’s who in the world since 2006. His research interests include data mining especially in the field of decision trees and association rules, and he is also interested in database application development.