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In the era of digital information, the size of data collection has been growing significantly. Knowledge results in term of association rules obtained from the set of data are numerous and hard to select. This paper proposes the approach for selecting the interesting subsets of association rules from big association results. The selective criterion is based on well-known interesting measures including...
The stock index indicators, e.g., Moving Average (MA), Relative Strength Index (RSI), Price Rate of Change (PROC), Moving Average Convergence Divergence (MACD), or Stochastic Oscillator (STH) are often used as the main factor in trading. Stock traders decide to trade by using these indicators. This paper applies theory of rough set to find the hidden relationship among these indicators which affects...
Stock trading is a popular approach for money investment. This paper focuses on Thai stock market which has hundreds of individual stocks. The aim of this paper is to apply an association rule mining technique for discovering the relationships between individual stocks. The transactional dataset used to generate the rules consists of 242 trading days from 4 January 2010 to 30 December 2010. The results...
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