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Mining Intelligent e-Voting Data:A Framework
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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