[PDF] The machine learning in the prediction of elections PDF 512251502001.pdf

the algorithm with the better performance in data management Keywords: Automatic Learning, fuzzy logic, grouping, Weka, SALSA, LAMDA, state elections

The primary objective of this paper is to model and forecast the United States presidential election via the usage of learning algorithms Political and economic

An Algorithm for Estimating Turnout as a Guide to Predicting Elections

Crespi's (1988) study of 423 preelection polls found them to be quite inaccurate, missing the actual division of the vote by almost 6 percent- age points on

[PDF] Analyzing Political Opinions and Prediction of Voting - CORE

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

Utilizing Learning Algorithms to Improve News - CORE

Improving Electoral Predictions with Learning Algorithms 16 candidates for election forecasts, and specifically the role of polling data regarding issues

[PDF] 2020 Presidential Election Model - Moodys Analytics

2 sept 2019 · The models predict whether the incumbent presidential candidate will win the popular vote in each state and the District of Columbia, and thus the

Apriori-based Prediction of the Multi Seat Elections - IEEE Xplore

than the poll model The improved poll model by delegating and weighting operations can predict election results of Hongkong Legislative Council more