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- W3147204517 abstract "Abstract In the concept of democracy, citizens can come out to vote and choose who they would prefer to lead the country in a competitive election. Malaysia is one of the countries that practicing democracy in shaping the country’s future. There is a total of 14 general elections held in Malaysia. The turnout rate of the 2013 general election, 84.8% is the highest record in Malaysia history. However, the actual participation rate is considered lower when voter turnout is compared to voting age population and the number of eligible voters. Thus, this study’s objective is to predict Malaysian turnout in the general election in Malaysia using classification tree algorithms. This dataset used in this study are the Asian Barometer Survey 2010 and 2014 dataset. The three selection decision tree algorithms used in this study are CHAID, CART, and C5.0. Among these three methods, CHAID perform the best to predict the Malaysian turnout in Malaysia’s general election." @default.
- W3147204517 created "2021-04-13" @default.
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- W3147204517 date "2021-04-05" @default.
- W3147204517 modified "2023-10-18" @default.
- W3147204517 title "Understanding Voter Turnout Through Big Data Analytics" @default.
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- W3147204517 doi "https://doi.org/10.21203/rs.3.rs-380811/v1" @default.
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