扩展的ACD模型是金融高频数据分析的一种重要方法。
Among tools for analyzing high frequency financial data, the extensive ACD model is a very important one.
金融高频数据是一种不等间隔的时间序列，现有的相似性查找技术对高频数据的处理效果不佳。
The existing methods of similarity search are not suitable for high frequency financial data, which is a kind of non-interval time series.
不同步交易乃金融中高频数据处理的重要课题之一。
Nonsynchronous trading is one of the hot issues in financial high frequency data processing.
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