Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Data is the precious resources. Data contains the useful patterns which provide the crucial information about the prediction of what is going to be happened in the next. In this paper, we aim to identify the political preferences and tendency of the US populations using classification and data mining techniques. To provide the usefulness of proposed model we analyze the electoral data sets in US election obtained from the official website which contains the information about 1984 United States Congressional voting records. This paper shows the classification techniques that can be used to predicting voting patterns in the US House of Representatives and shows the close correspondence between election results and extracted opinion. This paper also shows the political support of the voters and prediction the characteristics of the voter with their political tendency.
Md. Sohel Ahammed. 2019. \u201cAnalyzing Political Opinions and Prediction of Voting Patterns in the US Election with Data Mining Approaches\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 19 (GJCST Volume 19 Issue C2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 103
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: Md. Sohel Ahammed, Md. Nahid Newaz, Arunavo Dey (PhD/Dr. count: 0)
View Count (all-time): 287
Total Views (Real + Logic): 5171
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Publish Date: 2019 05, Tue
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Neural Networks and Rules-based Systems used to Find Rational and
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Data is the precious resources. Data contains the useful patterns which provide the crucial information about the prediction of what is going to be happened in the next. In this paper, we aim to identify the political preferences and tendency of the US populations using classification and data mining techniques. To provide the usefulness of proposed model we analyze the electoral data sets in US election obtained from the official website which contains the information about 1984 United States Congressional voting records. This paper shows the classification techniques that can be used to predicting voting patterns in the US House of Representatives and shows the close correspondence between election results and extracted opinion. This paper also shows the political support of the voters and prediction the characteristics of the voter with their political tendency.
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