TRAINING DECISION SUPPORT SYSTEMS FROM BUSINESS PROCESS EXECUTION TRACES THAT CONTAIN REPEATED TASKS
    1.
    发明申请
    TRAINING DECISION SUPPORT SYSTEMS FROM BUSINESS PROCESS EXECUTION TRACES THAT CONTAIN REPEATED TASKS 审中-公开
    业务流程执行决策支持系统包含重复任务的执行跟踪

    公开(公告)号:US20140067732A1

    公开(公告)日:2014-03-06

    申请号:US13605723

    申请日:2012-09-06

    IPC分类号: G06F15/18

    CPC分类号: G06Q10/06375

    摘要: A method for training a machine learning tool to generate a prediction in a business process includes receiving a business process model corresponding to the business process, the business process model including a plurality of tasks, identifying a cycling set at a decision point in the business process model, wherein the cycling set comprises at least one task that the business process model iterates through, and building a training table by determining a total number of sub-traces and a total number of variables from a plurality of execution traces of the business process model based on the cycling set identified at the decision point, wherein a new row of the training table is created for each of the sub-traces and a new column of the training table is created for each of the variables.

    摘要翻译: 一种用于训练机器学习工具以在业务过程中生成预测的方法包括:接收与业务过程相对应的业务流程模型,业务流程模型包括多个任务,在业务流程中的决策点识别循环组 模型,其中所述循环组包括所述业务过程模型迭代的至少一个任务,以及通过从所述业务过程模型的多个执行跟踪中确定子跟踪的总数和总数来构建训练表 基于在决策点识别的循环组,其中为每个子轨迹创建训练表的新行,并为每个变量创建训练表的新列。

    TRAINING DECISION SUPPORT SYSTEMS FOR BUSINESS PROCESS EXECUTION TRACES THAT CONTAIN REPEATED TASKS
    2.
    发明申请
    TRAINING DECISION SUPPORT SYSTEMS FOR BUSINESS PROCESS EXECUTION TRACES THAT CONTAIN REPEATED TASKS 审中-公开
    培训业务流程决策支持系统执行重复任务的步骤

    公开(公告)号:US20140067446A1

    公开(公告)日:2014-03-06

    申请号:US13598185

    申请日:2012-08-29

    IPC分类号: G06Q10/06

    CPC分类号: G06Q10/06375

    摘要: A method for training a machine learning tool to generate a prediction in a business process includes receiving a business process model corresponding to the business process, the business process model including a plurality of tasks, identifying a cycling set at a decision point in the business process model, wherein the cycling set comprises at least one task that the business process model iterates through, and building a training table by determining a total number of sub-traces and a total number of variables from a plurality of execution traces of the business process model based on the cycling set identified at the decision point, wherein a new row of the training table is created for each of the sub-traces and a new column of the training table is created for each of the variables.

    摘要翻译: 一种用于训练机器学习工具以在业务过程中生成预测的方法包括:接收与业务过程相对应的业务流程模型,业务流程模型包括多个任务,在业务流程中的决策点识别循环组 模型,其中所述循环组包括所述业务过程模型迭代的至少一个任务,以及通过从所述业务过程模型的多个执行跟踪中确定子跟踪的总数和总数来构建训练表 基于在决策点识别的循环组,其中为每个子轨迹创建训练表的新行,并为每个变量创建训练表的新列。