DocumentCode :
1636880
Title :
E-Business Social Network Optimization and Visualization
Author :
Ibrahim, Siti Nurkhadijah Aishah ; Selamat, Ali ; Selamat, Mohd Hafiz
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai
Volume :
3
fYear :
2008
Firstpage :
263
Lastpage :
268
Abstract :
This paper describes about the optimization of the e-business social network visualization after the searching process. Basically, we found that the current e-business web pages having a low quality of connection between each other. It means that the current search engines are not able to search the relevant result and to show the connections between each Web page and how they are related with each other. Thus, we developed the query optimization search system (QOSS) based on genetic algorithm (GA) to solve this problem by visualized and optimized the connection between them. Experimental results demonstrate that it is very effective to improve the search of the relevant Web pages using genetic algorithm.
Keywords :
data visualisation; electronic commerce; genetic algorithms; query processing; search engines; Internet; e-business Web crawler; e-business Web page; e-business social network optimization; e-business social network visualization; genetic algorithm; query optimization search system; search engine; Design optimization; Genetic algorithms; Information systems; Internet; Query processing; Search engines; Social network services; Visualization; Web pages; World Wide Web; Genetic Algorithm; Optimization; Social Network; Visualization; Web Crawler;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
Type :
conf
DOI :
10.1109/ISDA.2008.184
Filename :
4696472
Link To Document :
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