E-Governance in Elections: Implementation of Efficient Decision Tree Algorithm to predict percentage of e-voting
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 10|
|Year of Publication : 2016|
|Authors : S. Meenakshi, Dr A. Murugan|
How to Cite?
S. Meenakshi, Dr A. Murugan, "E-Governance in Elections: Implementation of Efficient Decision Tree Algorithm to predict percentage of e-voting," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 10, pp. 12-18, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I10P106
One of the important strengths of Indian democracy is elections. All the eligible citizens are expected to come to the polling stations to elect their representatives to form the government. But the process is not that much simple in a big country like India and we are still unable to achieve hundred percent polling in our elections. Various measures have been taken by the government to achieve this without causing any damage to the fairness in the procedures involved in the electoral process because public confidence is the back bone of this grand system. In the recent past, many researchers and officials consider online voting as a valid and reliable choice to improve polling percentage. It is time to enter into the magical world of technology and apply its powerful tools to implement the change quickly and safely. The growth in the number of home computers and internet access is the ray of light that shows the direction of implementing online voting. This paper tries to find out the ways of improving poll percentage by an application of efficient decision tree algorithm to predict percentage of online voting. The proposed algorithm is compared with the already existing classifying algorithms and the accuracy value is predicted. Also the dataset is applied in the WEKA tool and the values are compared. The proposed algorithm suggests that polling percentage in elections in India can be definitely improved if online voting is introduced with all necessary factors of proper application. Keywords: Election, Polling percentage, online voting, Internet access, Decision tree algorithm, WEKA tool.
Election, Polling percentage, online voting, Internet access, Decision tree algorithm, WEKA tool.
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