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A technique to predict short-term stock trend using bayesian classifier
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In this paper, an application of Bayesian classifier for shortterm stock trend prediction, which is a popular field of study, is presented. In order to use Bayesian classifier effectively, we transform daily stock price time series object into data frame format where the dependent variable is stock trend label and the independent variables are the stock variations with respect to previous days
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