This paper discusses some problems of temporal data mining that combine data mining with temporal data.

本文试图将数据挖掘和时态数据相结合来讨论时态数据挖掘的有关问题。

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Temporal data mining can be defined as the search for interesting correlations or patterns in large sets of temporal data.

态数据挖掘可以定义为在大量时态数据集合中寻找有趣联系或模式的研究。

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Spatio-temporal data mining is an important research topic in data mining, and in which spatiotemporal forecasting is the most widely used.

时空数据挖掘是数据挖掘中的重要研究内容，其中时空预测的应用领域最为广泛。

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