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Mining intelligent E-voting data: A framework

Okesola, J. O. and Ogunseye, O. S. and Rufai, K. I. and Folorunso, O. (2010) Mining intelligent E-voting data: A framework. Oriental Journal of Computer Science & Technology, 3 (2). pp. 227-231.

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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.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Adewole Adewumi
Date Deposited: 19 Mar 2018 13:21
Last Modified: 19 Mar 2018 13:21

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