DocumentCode
514624
Title
Building Knowledge Map for Product Development Based on GAKME Method
Author
Zhangang, Hao ; Jianhua, Yang
Author_Institution
Shandong Inst. of Bus. & Technol., Yantai, China
Volume
1
fYear
2010
fDate
6-7 March 2010
Firstpage
696
Lastpage
699
Abstract
This paper presents a new clustering algorithm based on the combination of GA(Genetic Algorithm) and k-medoids algorithm . The new algorithm can not only improve the precision of clustering but also recognize isolated points. At the same time, the new algorithm may expedite the convergence of GA and save the time cost because of introducing the k-medoids algorithm in GA. Based on this, we build knowledge map for product development using GAKME method.
Keywords
genetic algorithms; knowledge engineering; pattern clustering; product development; GAKME method; clustering algorithm; genetic algorithm; k-medoids algorithm; knowledge map; product development; Clustering algorithms; Costs; Data mining; Educational technology; Genetic algorithms; Iterative algorithms; Optimization methods; Paper technology; Partitioning algorithms; Product development; clustering; genetic algorithm; k-medoids algorithm; knowledge map;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Electronic_ISBN
978-1-4244-6389-3
Type
conf
DOI
10.1109/ETCS.2010.567
Filename
5458636
Link To Document