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Method of supporting decision-making for predicting future time- series data using measured values of time-series data stored in a storage and knowledge stored in a knowledge base

机译:支持使用存储在存储器中的时间序列数据和知识库中存储的知识的测量值来预测未来时间序列数据的决策方法

摘要

A method of supporting decision-making for predicting future time- series data by using measured values of time-series data stored in a storage and knowledge stored in a knowledge base. The knowledge is related to interpretation and prediction of the time-series data. A plurality of time-series data stored in the storage device is prepared in an order of time-serial points corresponding to the time-series data. Knowledge which includes reference to the time-series data using a relative time interval from the time-series data is stored to the knowledge base. One the time-serial points of the time-series data is designated. Thereafter, the relative time interval in the knowledge is subtracting from the designated time-serial point to determine the time- serial point corresponding to the time-series data, and the future time- series data is inferred by using the knowledge and the time-series data.
机译:一种支持决策的方法,该方法通过使用存储在存储器中的时序数据的测量值和存储在知识库中的知识来预测未来的时序数据。该知识与时间序列数据的解释和预测有关。以与时间序列数据相对应的时间序列点的顺序准备存储在存储设备中的多个时间序列数据。包括使用从时间序列数据开始的相对时间间隔来引用时间序列数据的知识被存储到知识库中。指定时间序列数据的时间序列点之一。此后,从指定的时间序列点中减去知识中的相对时间间隔,以确定与时间序列数据相对应的时间序列点,然后通过使用知识和时间序列推断未来的时间序列数据系列数据。

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