Developing an approach to evaluate stocks by forecasting effective features with data mining methods

@article{Barak2015DevelopingAA,
  title={Developing an approach to evaluate stocks by forecasting effective features with data mining methods},
  author={Sasan Barak and Mohammad Modarres},
  journal={Expert Syst. Appl.},
  year={2015},
  volume={42},
  pages={1325-1339}
}
A comprehensive study on likely effective features in risk and return prediction.Stock risk and return prediction with different classification methods.Hybrid FS algorithm on the basis of filter and function-based clustering. In this research, a novel approach is developed to predict stocks return and risks. In this three stage method, through a comprehensive investigation all possible features which can be effective on stocks risk and return are identified. Then, in the next stage risk and… CONTINUE READING
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