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    Detecting deviations between event log and process model
    1.
    发明授权
    Detecting deviations between event log and process model 有权

    公开(公告)号：US11514348B2

    公开(公告)日：2022-11-29

    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.

    Detecting deviations between event log and process model
    2.
    发明授权
    Detecting deviations between event log and process model 有权

    公开(公告)号：US11354588B2

    公开(公告)日：2022-06-07

    申请号：US16563076

    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.

    Augmenting relational database engines with graph query capability
    3.
    发明授权
    Augmenting relational database engines with graph query capability 有权

    公开(公告)号：US11281721B2

    公开(公告)日：2022-03-22

    申请号：US16691907

    申请日：2019-11-22

    Applicant: International Business Machines Corporation

    Inventor： Sui Jun Tong ,  Wen Sun ,  Yi Qin Yu ,  Eryu Xia ,  Yong Qin

    IPC: G06F16/901 ,  G06F16/903 ,  G06F16/28

    Abstract: Techniques for augmenting relational databases with graph database capabilities are described. A graph database query requesting data from a graph database is received. The graph database includes a plurality of vertices and a plurality of edges. The graph database query is translated into a relational database query using one or more computer processors. The relational database query references a vertex table and an edge table in a relational database. Result data corresponding with the graph database query is retrieved from the relational database by executing the relational database query against the relational database.

    Case management model processing
    4.
    发明授权
    Case management model processing 有权

    公开(公告)号：US10832809B2

    公开(公告)日：2020-11-10

    申请号：US14828649

    申请日：2015-08-18

    Applicant: International Business Machines Corporation

    Inventor： Jing Li ,  Xiang Li ,  Haifeng Liu ,  Jing Mei ,  Guo Tong Xie ,  Yi Qin Yu

    IPC: G06Q10/00 ,  G06Q50/00 ,  G16H40/20

    Abstract: The present disclosure provides a method, apparatus and system for processing a case management model (CMM). According to an embodiment, there is provided a method for processing a CMM, the method includes: obtaining an existing CMM having a plurality of elements; obtaining a new CMM having at least one element; aligning an element of the new CMM to an element of the existing CMM according to match costs between the element of the new CMM and the plurality of elements of the existing CMM; and fusing the new CMM into the existing CMM based on the match cost between the aligned elements.

    DATA PROCESSING
    5.
    发明申请
    DATA PROCESSING 有权
    数据处理

    公开(公告)号：US20130138592A1

    公开(公告)日：2013-05-30

    申请号：US13688323

    申请日：2012-11-29

    Applicant: International Business Machines Corporation

    Inventor： Yue Pan ,  Wei Jia Shen ,  Xing Zhi Sun ,  Xiao Fei Teng ,  Lin Hao Xu ,  Yi Qin Yu ,  Yu Chen Zhou

    IPC: G06N5/02

    CPC classification number: G06N5/02 ,  G06N5/003

    Abstract: A method and apparatus for data processing. The method calculates correlations between a plurality of attributes in a dataset. The attributes are factors involved in transaction processing. The method generates a relationship graph by using the plurality of attributes and the correlations between the plurality of attributes; and extracts a sub-graph from the relationship graph to represent a hypothesis. The hypothesis describes the impacts of the factors on the transaction processing. Also provided is an apparatus for implementing the above data processing method.

    Abstract translation: 一种用于数据处理的方法和装置。 该方法计算数据集中的多个属性之间的相关性。 这些属性是事务处理中涉及到的因素。 该方法通过使用多个属性和多个属性之间的相关性来生成关系图; 并从关系图提取子图以表示假设。 该假设描述了因素对交易处理的影响。 还提供了一种用于实现上述数据处理方法的装置。

    SYNTHESIS FOR RISK PREDICTION MODELS
    7.
    发明申请
    SYNTHESIS FOR RISK PREDICTION MODELS 有权

    公开(公告)号：US20220359075A1

    公开(公告)日：2022-11-10

    申请号：US17315853

    申请日：2021-05-10

    Applicant: International Business Machines Corporation

    Inventor： Ze Fang Tang ,  Yuan Zhang ,  Yi Qin Yu ,  Jing Mei

    IPC: G16H50/20 ,  G16H50/50 ,  G16H70/60

    Abstract: This disclosure relates to a method, a system and a computer program product for synthesizing risk prediction models to generate a generalized risk prediction model for a particular disease. The method comprises retrieving a plurality of literatures from one or more databases. Each of the plurality of literatures defines a risk prediction model for a same disease. The method further comprises extracting study features from each of the plurality of literatures. The method further comprises extracting weights of risk factors in the risk prediction model defined by each of the plurality of literatures from the plurality of literatures. The method further comprises calculating adjusted weights of risk factors based on the extracted study features and the extracted weights of risk factors, to form an adjusted risk prediction model.

    Detecting deviations between event log and process model
    9.
    发明授权
    Detecting deviations between event log and process model 有权

    公开(公告)号：US10452987B2

    公开(公告)日：2019-10-22

    申请号：US14748867

    申请日：2015-06-24

    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.

    Detecting deviations between event log and process model
    10.
    发明授权
    Detecting deviations between event log and process model 有权

    公开(公告)号：US10417569B2

    公开(公告)日：2019-09-17

    申请号：US14598655

    申请日：2015-01-16

    Applicant: International Business Machines Corporation

    Inventor： Jing Li ,  Xiang Li ,  Haifeng Liu ,  Guo Tong Xie ,  Yi Qin Yu ,  Shi Lei Zhang

    IPC: G06F9/44 ,  G06N7/02 ,  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.

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