METHOD AND SYSTEM FOR CLUSTERING, MODELING, AND VISUALIZING PROCESS MODELS FROM NOISY LOGS
    1.
    发明申请
    METHOD AND SYSTEM FOR CLUSTERING, MODELING, AND VISUALIZING PROCESS MODELS FROM NOISY LOGS 有权
    用于从噪声记录中聚类,建模和可视化过程模型的方法和系统

    公开(公告)号:US20150142707A1

    公开(公告)日:2015-05-21

    申请号:US14081203

    申请日:2013-11-15

    CPC classification number: G06N99/005

    Abstract: A process discovery system that includes an offline system training module configured to cluster similar process log traces using Non-negative Matrix Factorization (NMF) with each cluster representing a process model, and learn a Conditional Random Field (CRF) model for each process model and an online system usage module configured to decode new incoming log traces and construct a process graph in which transitions are shown or hidden according to a tuning parameter.

    Abstract translation: 一种过程发现系统,其包括离线系统训练模块,其被配置为使用非负矩阵因子分解(NMF)来聚类相似的过程日志跟踪,每个群表示过程模型,并且为每个过程模型学习条件随机场(CRF)模型, 在线系统使用模块被配置为解码新的传入日志跟踪并构造根据调谐参数显示或隐藏转移的过程图。

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