公开(公告)号：US20160147634A1

公开(公告)日：2016-05-26

申请号：US14946815

申请日：2015-11-20

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： BING LI ,  XIANG LI ,  XIAO JIAN LIAN ,  DAN LIU ,  HAIFENG LIU ,  JING MEI ,  GUO TONG XIE ,  YI QIN YU ,  JING ZHANG

IPC: G06F11/36

CPC classification number: G06F11/3608 ,  G06F11/3692

Abstract: Method and apparatus for obtaining constraints on events. The method includes: obtaining a correspondence between a goal and multiple candidate constraints associated with the event from multiple event sequences including the event, wherein each event sequence among the multiple event sequences is a series of historical events that are executed for achieving the goal; identifying an impact on the goal of at least one part of candidate constraints among the multiple candidate constraints based on the correspondence; and in response to metric of the impact satisfying a predefined condition, determining the at least one part of candidate constraints as the constraint. An apparatus for determining a constraint on an event and a method and apparatus for generating a Case Management Model from multiple event sequences are also provided.

Abstract translation: 用于获取事件约束的方法和装置。 该方法包括：从包括事件的多个事件序列获得目标与与事件相关联的多个候选约束之间的对应关系，其中多个事件序列之间的每个事件序列是为了实现目标而被执行的一系列历史事件; 基于所述对应来确定所述多个候选约束中的至少一部分候选约束的目标的影响; 并且响应于满足预定条件的影响的度量，确定候选约束的至少一部分作为约束。 还提供了一种用于确定事件约束的装置以及用于从多个事件序列生成案例管理模型的方法和装置。

公开(公告)号：US20190392334A1

公开(公告)日：2019-12-26

申请号：US16563070

申请日：2019-09-06

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： JING LI ,  XIANG LI ,  HAIFENG LIU ,  GUO TONG XIE ,  YI QIN YU ,  SHI LEI ZHANG

IPC: G06N7/00

Abstract: A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.