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    Process model generated using biased process mining
    3.
    发明授权
    Process model generated using biased process mining 有权
    使用偏向流程挖掘生成的流程模型

    公开(公告)号：US09208449B2

    公开(公告)日：2015-12-08

    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： 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.

    摘要翻译： 实施例涉及用于过程模型的方法，系统和计算机程序产品。 该方法包括提取与运行进程的进程执行跟踪关联的数据，并提取与运行进程有关的任何先验知识数据。 该方法还包括为现有知识数据计算至少一个转换置信度参数; 并识别与运行过程相关的任何现有过程模型。 任何已识别的现有流程模型也产生置信痕迹偏差。 然后通过组合置信跟踪偏差值和转移置信度参数的值来计算增强的偏差值。 使用提取的过程执行跟踪数据，现有知识数据，识别的现有模型和增强偏差值作为输入，生成学习过程模型。

    MANAGING MARKETING IMPRESSIONS WITH CONSUMER REWARDS
    4.
    发明申请
    MANAGING MARKETING IMPRESSIONS WITH CONSUMER REWARDS 审中-公开
    用消费者奖励来管理市场营销

    公开(公告)号：US20150242872A1

    公开(公告)日：2015-08-27

    申请号：US14189486

    申请日：2014-02-25

    申请人： International Business Machines Corporation

    发明人： Pietro Mazzoleni ,  Pavankumar Murali ,  Hironori Takeuchi ,  Roman Vaculin

    IPC分类号： G06Q30/02 ,  G06Q50/00

    CPC分类号： G06Q30/0211 ,  G06Q30/0217 ,  G06Q50/01

    摘要： A method, apparatus, and computer program product for managing marketing impressions. An apparatus identifies utility of a seller and utility of a user. The apparatus generates an offer of a reward based on the utility of the seller and the utility of the user. The offer of the reward is for performing a social marketing task. The social marketing task is for generating a first number of marketing impressions to achieve a set of objectives of the seller. The apparatus activates the reward for the user when the social marketing task is completed. The social marketing task is completed when the apparatus determines that the user has accepted the offer and the performing of the social marketing task has generated the first number of marketing impressions.

    摘要翻译： 用于管理营销印象的方法，设备和计算机程序产品。 一种装置识别用户的卖方和公用事业的效用。 该装置基于卖方的效用和用户的效用产生报酬。 奖励的提供是执行社会营销任务。 社交营销任务是产生第一批营销印象，以实现卖方的一系列目标。 当社会营销任务完成时，设备激活用户的奖励。 当设备确定用户已经接受报价并且执行社交营销任务已经产生了第一数量的营销印象时，完成了社交营销任务。

    PROCESS MODEL GENERATED USING BIASED PROCESS MINING
    5.
    发明申请
    PROCESS MODEL GENERATED USING BIASED PROCESS MINING 有权
    使用偏心过程采矿生成的工艺模型

    公开(公告)号：US20140279769A1

    公开(公告)日：2014-09-18

    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： G06N99/00

    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.

    摘要翻译： 实施例涉及用于过程模型的方法，系统和计算机程序产品。 该方法包括提取与运行进程的进程执行跟踪关联的数据，并提取与运行进程有关的任何先验知识数据。 该方法还包括为现有知识数据计算至少一个转换置信度参数; 并识别与运行过程相关的任何现有过程模型。 任何已识别的现有流程模型也产生置信痕迹偏差。 然后通过组合置信跟踪偏差值和转移置信度参数的值来计算增强的偏差值。 使用提取的过程执行跟踪数据，现有知识数据，识别的现有模型和增强偏差值作为输入，生成学习过程模型。

    COGNITIVE CONVERSATIONAL AGENT FOR PROVIDING PERSONALIZED INSIGHTS ON-THE-FLY
    8.
    发明申请
    COGNITIVE CONVERSATIONAL AGENT FOR PROVIDING PERSONALIZED INSIGHTS ON-THE-FLY 审中-公开

    公开(公告)号：US20190205726A1

    公开(公告)日：2019-07-04

    申请号：US15860047

    申请日：2018-01-02

    申请人： International Business Machines Corporation

    发明人： Elham Khabiri ,  Pietro Mazzoleni ,  Lei Kuang

    IPC分类号： G06N3/00 ,  G06F17/30

    CPC分类号： G06N3/006 ,  G06F16/24522 ,  G06F16/2465 ,  G06F16/248

    摘要： A system, method and computer program product, which given in input a question in natural language format, delivers personalized insights related to the answer. Personalized insights are selected among candidate insights mined from the data and ranked based on closeness to (mined) user-preference, relevance to the question, and surprise factor. Two core components include: Question analysis and meaningful insight look up and Multi-dimensional insight ranking. The Question analysis and meaningful insights lookup module performs a semantic analysis of the questions and, uses techniques including “templates” to build new questions which could uncover insights from the data. The Multi-dimensional insight ranking module takes in input a list of insights returned from Question analysis and meaningful insights lookup and rank such insights based on such factors as: relevance to the query, surprise factor, and user preferences.