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Okesola, Julius O.
- Mining Intelligent e-Voting Data:A Framework
Abstract Views :242 |
PDF Views:0
Authors
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
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
Source
Oriental Journal of Computer Science and Technology, Vol 3, No 2 (2010), Pagination: 227-231Abstract
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.- SOA-RTDBS:A Service Oriented Architecture (SOA) Supporting Real Time Database Systems
Abstract Views :213 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, University of Agriculture, Abeokuta, NG
2 Departments of Computer and Information Science, Tai Solarin University of Education, Ijebu-Ode, NG
1 Department of Computer Science, University of Agriculture, Abeokuta, NG
2 Departments of Computer and Information Science, Tai Solarin University of Education, Ijebu-Ode, NG