• High frequency financial time series prediction: machine learning approach 

      Zankova, Ekaterina (Master thesis; Mastergradsoppgave, 2016-05-13)
      Machine learning is a rapidly evolving subfield of computer science. It has enormous amount of applications. One of the application domains is financial data analysis. Machine learning was usually applied for analysis and forecasting of daily financial time series. Availability of high frequency financial data became another challenge with its own specifics and difficulties. Regressors, being a ...