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Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick.

Sasan BarakJalil Heidary DahooieTomás Tichý
Published in: Expert Syst. Appl. (2015)
Keyphrases
  • feature selection
  • stock market
  • classification accuracy
  • mutual information
  • short term
  • long term
  • support vector machine
  • dimensionality reduction
  • non stationary
  • financial data