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An Effective Data Model for Forecasting and Analyzing Securities Data

  • Lee, Seung Ho;Shin, Seung Jung
    • International journal of advanced smart convergence
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    • 제5권4호
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    • pp.32-39
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    • 2016
  • Machine learning is a field of artificial intelligence (AI), and a technology that collects, forecasts, and analyzes securities data is developed upon machine learning. The difference between using machine learning and not using machine learning is that machine learning-seems similar to big data-studies and collects data by itself which big data cannot do. Machine learning can be utilized, for example, to recognize a certain pattern of an object and find a criminal or a vehicle used in a crime. To achieve similar intelligent tasks, data must be more effectively collected than before. In this paper, we propose a method of effectively collecting data.