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TIME-SERIES ANALYSIS BASED ON WORLD EVENT DERIVED FROM UNSTRUCTURED CONTENT

机译:基于非结构化内容的世界事件的时间序列分析

摘要

The present subject matter relates to analysis of time-series data based on world events derived from unstructured content. According to one embodiment, a method comprises obtaining event information corresponding to at least one world event from unstructured content obtained from a plurality of data sources. The event information includes at least time of occurrence of the world event, time of termination of the world event, and at least one entity associated with the world event. Further, the method comprises retrieving time-series data pertaining to the entity associated with the world event from a time-series data repository. Based on the event information and the time-series data, the world event is aligned and correlated with at least one time-series event to identify at least one pattern indicative of cause-effect relationship amongst the world event and the time-series event.
机译:本主题涉及基于源自非结构化内容的世界事件的时间序列数据的分析。根据一个实施例,一种方法包括从从多个数据源获得的非结构化内容中获得与至少一个世界事件相对应的事件信息。事件信息至少包括世界事件的发生时间,世界事件的终止时间以及与该世界事件相关联的至少一个实体。此外,该方法包括从时序数据存储库中检索与与世界事件相关联的实体有关的时序数据。基于事件信息和时间序列数据,将世界事件与至少一个时间序列事件对准并相关联,以识别至少一种指示该世界事件和该时间序列事件之间的因果关系的模式。

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