Method and system for clustering, modeling, and visualizing process models from noisy logs
    13.
    发明授权
    Method and system for clustering, modeling, and visualizing process models from noisy logs 有权
    用于从嘈杂日志进行聚类,建模和可视化过程模型的方法和系统

    公开(公告)号:US09324038B2

    公开(公告)日:2016-04-26

    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。

    SCALABLE WEIGHT-AGNOSTIC MULTI-OBJECTIVE QOS OPTIMIZATION FOR WORKFLOW PLANNING
    14.
    发明申请
    SCALABLE WEIGHT-AGNOSTIC MULTI-OBJECTIVE QOS OPTIMIZATION FOR WORKFLOW PLANNING 审中-公开
    适用于工作流程规划的重量级多目标QOS优化

    公开(公告)号:US20140164048A1

    公开(公告)日:2014-06-12

    申请号:US13708062

    申请日:2012-12-07

    CPC classification number: G06Q10/0633

    Abstract: Disclosed is a method and system for optimizing a workflow planning via the selection of service providers and data centers according to various QoS (Quality of Service) metrics. The algorithm handles multiple QoS parameters and does not require an a priori weighting of their importance, a typical requirement of other approaches to this problem. This is accomplished by using an algorithm that will guarantee that no alternative solution will be strictly better in all QoS criteria than the chosen solution. A variant of the algorithm to specify the preference order among the QoS parameters is also disclosed.

    Abstract translation: 公开了一种通过根据各种QoS(服务质量)度量来选择服务提供商和数据中心来优化工作流规划的方法和系统。 该算法处理多个QoS参数,并且不需要对其重要性进行先验加权,这是该问题的其他方法的典型要求。 这是通过使用一种算法来实现的,该算法将保证在所有QoS标准中,选择的解决方案不会比所选解决方案更严格。 还公开了用于指定QoS参数中的偏好顺序的算法的变体。

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