Financial time series analysis for rapid prediction of trend-oriented features, use of data mining ideas and tools of financial time series model is proposed Fast algorithm for discovering. With the traditional prediction method compared to the algorithm of data distribution and stability etc. do not ask, do not based on any assumptions, can very quickly find that the frequent time series patterns, by matching patterns can be used for financial time series analysis and prediction. to exchange rate data, show that the algorithm

基于数据挖掘的金融时序频繁模式的快速发现.pdf

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