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Generating Predictions From A Probabilistic Process Model

机译:从概率过程模型生成预测

摘要

A method for predictive analytics in a semi-structured process including updating, iteratively, at least one probability of a probabilistic process model based on a completed task, wherein updating the at least one probability of the probabilistic process model includes receiving the probabilistic process model associated with a todo list including a plurality of tasks of the semi-structured process, defining a cost of each of the plurality of tasks, prioritizing the plurality of tasks according to the costs, and recommending a next task from the todo list according to a prioritization
机译:一种用于半结构化过程中的预测分析的方法,包括基于完成的任务迭代地更新概率过程模型的至少一个概率,其中,更新概率过程模型的至少一个概率包括接收关联的概率过程模型。具有待办事项列表,该待办事项列表包括半结构化过程的多个任务,定义多个任务中的每个任务的成本,根据成本对多个任务进行优先级排序,并根据优先级从待办事项列表中推荐下一个任务

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