期刊名称：Oriental Journal of Computer Science and Technology
印刷版ISSN：0974-6471
出版年度：2010
卷号：3
期号：2
页码：227-231
出版社：Oriental Scientific Publishing Company
摘要：Intelligent e-voting data has been shown to pose a lot of benefit to e-voting especially in thearea of security and recounting. After the election and balloting processes, valuable knowledge canstill be extracted from this data. This work provides a framework model as roadmap for developers tofollow in future development of such a system. The Perl based sample tested showed optimumperformance and hence proves the viability of the methodology
关键词：Text Mining; e-voting; knowledge extraction; data mining; semantic data; tree traversal.
