The previous record of the spoil number of spare parts is used in Bayesian methods to predict the demand of spare parts in the future time.
利用以往记录的该备件在设备中的损耗量数据，采用贝叶斯方法对备件在未来时间段里的需求量进行预测。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
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