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MACHINE LEARNING FOR TIME SERIES USING SEMANTIC AND TIME SERIES DATA
MACHINE LEARNING FOR TIME SERIES USING SEMANTIC AND TIME SERIES DATA
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机译:使用语义和时间序列数据进行时间序列的机器学习
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摘要
Techniques that facilitate semantic and time series analysis using machine learning are provided. In one example, a system includes a data analysis component, a prediction component and a learning component. The data analysis component that establishes one or more relationships between one or more elements of semantic data, including one or more time series identifiers, and one or more elements of time series data in a relationship database. The prediction component generates one or more advisory outputs, wherein generation of the one or more advisory outputs is performed in response to a trigger event. A learning component that determines the one or more relationships in the relationship database, wherein determination of the one or more relationships is based on information indicative of whether the advisory outputs satisfy a defined criterion.
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