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    PROCESS MODEL GENERATED USING BIASED PROCESS MINING
    2.
    发明申请
    PROCESS MODEL GENERATED USING BIASED PROCESS MINING 有权

    公开(公告)号：US20140279735A1

    公开(公告)日：2014-09-18

    申请号：US13833216

    申请日：2013-03-15

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Richard T. Goodwin ,  Pietro Mazzoleni ,  Aubrey J. Rembert

    IPC分类号： G06N5/02

    CPC分类号： G06N99/005 ,  G06N5/022 ,  G06Q10/067 ,  G06Q40/00

    摘要： Embodiments relate to a method, system, and computer program product for a process model. The method includes extracting data associated with a process execution trace of a running process and extracting any prior knowledge data relating to the running process. The method also includes calculating at least one transition confidence parameter for the prior knowledge data; and identifying any existing process models relating to the running process. A confidence trace bias is also generated for any existing process model identified. An enhanced bias value is then calculated by combining the confidence trace bias value and value of the transition confidence parameter. Using as input the extracted process execution trace data, the prior knowledge data, the identified existing model and the enhanced bias value, a learned process model is then generated.

    System and method for creating a preference profile from shared images
    3.
    发明授权
    System and method for creating a preference profile from shared images 有权

    公开(公告)号：US10169371B2

    公开(公告)日：2019-01-01

    申请号：US15841485

    申请日：2017-12-14

    申请人： International Business Machines Corporation

    发明人： Richard T. Goodwin ,  Pu Huang ,  Ying Li

    IPC分类号： G06K9/00 ,  G06F17/30 ,  H04L29/08 ,  G06K9/62 ,  G06K9/46 ,  G06K9/66 ,  H04N5/232 ,  G06K9/52 ,  G06N99/00

    摘要： A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.

    System and method for creating a preference profile from shared images
    5.
    发明授权
    System and method for creating a preference profile from shared images 有权

    公开(公告)号：US10042865B2

    公开(公告)日：2018-08-07

    申请号：US14746165

    申请日：2015-06-22

    申请人： International Business Machines Corporation

    发明人： Richard T. Goodwin ,  Pu Huang ,  Ying Li

    IPC分类号： G06K9/00 ,  G06F17/30 ,  G06K9/62 ,  G06K9/46 ,  G06K9/66 ,  H04N5/232 ,  H04L29/08

    摘要： A method includes obtaining from an online social media site a plurality of instances of images of objects associated with a person; analyzing with a data processor the plurality of instances of the images with a plurality of predetermined style classifiers to obtain a score for each image for each style classifier; and determining with the data processor, based on the obtained scores, a likely preference of the person for a particular style of object. The plurality of instances of images of objects associated with the person can be images that were posted, shared or pinned by person, and images that the person expressed a preference for. In a non-limiting embodiment the object is clothing, and the style can include a fashion style or fashion genre including color preferences. A system and a computer program product to perform the method are also disclosed.

    Process model generated using biased process mining
    8.
    发明授权
    Process model generated using biased process mining 有权

    公开(公告)号：US09355371B2

    公开(公告)日：2016-05-31

    申请号：US13970826

    申请日：2013-08-20

    申请人： International Business Machines Corporation

    发明人： Richard T. Goodwin ,  Pietro Mazzoleni ,  Aubrey J. Rembert

    IPC分类号： G06F15/18 ,  G06N99/00 ,  G06N5/02 ,  G06Q40/00

    CPC分类号： G06N99/005 ,  G06N5/022 ,  G06Q10/067 ,  G06Q40/00

    摘要： Embodiments relate to a method, system, and computer program product for a process model. The method includes extracting data associated with a process execution trace of a running process and extracting any prior knowledge data relating to the running process. The method also includes calculating at least one transition confidence parameter for the prior knowledge data; and identifying any existing process models relating to the running process. A confidence trace bias is also generated for any existing process model identified. An enhanced bias value is then calculated by combining the confidence trace bias value and value of the transition confidence parameter. Using as input the extracted process execution trace data, the prior knowledge data, the identified existing model and the enhanced bias value, a learned process model is then generated.