Title :
Feature Weight and Its Application in Weight Determination of Medical Scale Items
Author :
Wang, Zhen-hua ; Hou, Zhong-sheng ; Gao, Ying ; Liu, Qiang
Author_Institution :
Sch. of Traffic & Transp., Beijing Jiaotong Univ., Beijing
Abstract :
Actually, the determination of medical scales items is feature weight problem in data-mining area. The framework of EC-based (Evolutionary computation) classification method for feature weight is presented contrasted with traditional statistical methods. And an improved EC-based k-NN algorithm for feature weight, GS-k-NN, is put forward and presented. Comparison between PSO and GA is made as well as among k-NN, GS-k-NN, C4.5, SVM in the paper. Results show that PSO-based GS-k-NN is more effective than other algorithms.
Keywords :
data mining; evolutionary computation; medical diagnostic computing; pattern classification; classification method; data-mining; evolutionary computation; feature weight problem; gradually screening k-nearest neighbor algorithm; medical diagnosis; medical scale item weight determination; Classification algorithms; Classification tree analysis; Control systems; Data mining; Decision trees; Diseases; Medical control systems; Support vector machine classification; Support vector machines; Transportation; Evolutionary computation; Medical Scale Items; classification algorithm; feature weight;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.520
