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SYSTEMS AND METHODS FOR GENERATING, MONITORING, AND ANALYZING EVENT NETWORKS FROM EVENT DATA

机译:用于从事件数据生成,监视和分析事件网络的系统和方法

摘要

Systems and methods for generating a consistent multi-level event network from event data representing a complex process made up of many sub-processes, each involving different entities is described herein. Event data can include different event types, a timestamp, and an identifier associated with each event. The event data can be sorted into a single table. A set of nodes can be generated based on a unique combination of the event type and the identifier associated with each event. The nodes can include at least one root node that is associated with a root entity and at least one leaf node that is associated with a leaf entity. Starting from a leaf node, nodes that are associated with a common identifier can be linked in an iterative manner until the root node. One or more event networks can be identified based on the links and relations between the nodes.
机译:本文中描述了用于从表示由许多子过程组成的复杂过程的事件数据中生成一致的多级事件网络的系统和方法。事件数据可以包括不同的事件类型,时间戳和与每个事件关联的标识符。事件数据可以分类到单个表中。可以基于事件类型和与每个事件关联的标识符的唯一组合来生成一组节点。节点可包括与根实体关联的至少一个根节点和与叶实体关联的至少一个叶节点。从叶节点开始,可以以迭代方式链接与公共标识符关联的节点,直到根节点为止。可以基于节点之间的链接和关系来标识一个或多个事件网络。

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