Informatics Publishing Limited

Julius O. Okesola ¹, Oluwafemi S. Ogunseye ², Kazeem I. Rufai ¹, Olusegun Folorunso ²

Affiliations
1 Department of Computer & Information Sciences, Tai Solarin University of Education, Ijebu-Ode, Ogun State, NG
2 Department of Computer Science, University of Agriculture, Abeokuta, Ogun State, NG

Abstract

Intelligent e-voting data has been shown to pose a lot of benefit to e-voting especially in the area of security and recounting. After the election and balloting processes, valuable knowledge can still be extracted from this data. This work provides a framework model as roadmap for developers to follow in future development of such a system. The Perl based sample tested showed optimum performance and hence proves the viability of the methodology.

Keywords

Text Mining, e-Voting, Knowledge Extraction, Data Mining, Semantic Data, Tree Traversal.

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