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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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.
| 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 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/10409 |
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