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    • 92. 发明申请
    • OPTIMIZER
    • 优化器
    • US20130096967A1
    • 2013-04-18
    • US13274315
    • 2011-10-15
    • Alkiviadis SimitsisWilliam K. WilkinsonUmeshwar Dayal
    • Alkiviadis SimitsisWilliam K. WilkinsonUmeshwar Dayal
    • G06Q10/04
    • G06Q10/04
    • A method and apparatus: (1) select and apply a transition from a set of first objective enhancing transitions to an initial information integration flow graph based upon how application of each transition impacts a length of a chain of nodes to produce a first set of modified information integration flow graphs that satisfy a first objective; (2) select and apply a second transition from the set of first objective transitions and a set of second objective enhancing transitions to the first set of modified information integration flow graphs to produce a second set of modified information integration flow graphs that satisfy the first objective and the second objective; and (3) identify an information integration flow graph from the first set and the second set having a lowest cost.
    • 一种方法和装置:(1)基于每个过渡的应用如何影响节点链的长度以产生第一组修改的,从一组第一目标增强转换到初始信息集成流程图的选择和应用转换 满足第一目标的信息集成流程图; (2)从第一目标转变集合和一组第二目标增强转换中选择并应用第二转换到第一组修改信息集成流程图,以产生满足第一目标的第二组修改信息集成流程图 和第二个目标; 和(3)从具有最低成本的第一组和第二组中识别信息集成流程图。
    • 93. 发明申请
    • Visually Representing How a Sentiment Score is Computed
    • 视觉表示情绪评分如何计算
    • US20130018892A1
    • 2013-01-17
    • US13181059
    • 2011-07-12
    • Maria G. CastellanosPerla RuizUmeshwar DayalMohamed Dekhil
    • Maria G. CastellanosPerla RuizUmeshwar DayalMohamed Dekhil
    • G06F17/30
    • G06Q50/01
    • A method of visually representing how a sentiment score is computed comprises, with a sentiment scoring device, determining a number of sentiment scores for each of a number of attributes within a forum, writing a visualization file in a database based on metadata representing the sentiment scores, and outputting, to an output device, a representation of how the sentiment score was computed based on the visualization file. A system for displaying to a user how a sentiment score is computed comprises a sentiment scoring device, a forum source communicatively coupled to the sentiment scoring device, and an output device communicatively coupled to the sentiment scoring device, in which the sentiment scoring device obtains text from the forum source, determines sentiment scores for a number of attributes within the text, and outputs, to the output device, a representation of how the sentiment score was computed.
    • 一种视觉表示如何计算情绪评分的方法包括用情感评分装置确定论坛内的多个属性中的每一个的情绪评分数,基于表示情绪评分的元数据将可视化文件写入数据库 ,并且向输出设备输出基于可视化文件如何计算情绪评分的表示。 用于向用户显示如何计算情绪评分的系统包括情感评分装置,通信地耦合到情感评分装置的论坛源,以及通信地耦合到情绪评分装置的输出装置,其中情绪评分装置获取文本 从论坛来源,确定文本中的多个属性的情感分数,并将输出设备输出到如何计算情绪评分。
    • 94. 发明授权
    • OLAP-based customer behavior profiling method and system
    • 基于OLAP的客户行为剖析方法和系统
    • US08190554B2
    • 2012-05-29
    • US10882925
    • 2004-07-01
    • Qiming ChenUmeshwar DayalMeichun Hsu
    • Qiming ChenUmeshwar DayalMeichun Hsu
    • G06F17/30G06F17/00
    • G06F17/30592G06Q40/08H04M3/2218H04M15/00H04M15/04H04M15/43H04M15/47H04M15/58H04M2203/6027H04M2215/0148H04M2215/0188Y10S707/99943
    • An OLAP-based method and system for profiling customer behavior that can be utilized to detect telecommunication fraud. First, call records are received. Next, a calling profile cube (e.g., a multi-customer profile cube) is generated based on the call records. A volume-based calling pattern cube (e.g., a calling pattern cube for each individual customer) is then generated based on the multi-customer profile cube. The volume-based calling pattern cube is then compared with known fraudulent volume-based calling patterns. If the similarities generated by the comparison reaches or exceeds a predetermined threshold, then the particular caller with the calling pattern being analyzed is considered suspicious. In this manner, suspicious calling activity can be detected, and appropriate remedial actions, such as further investigation or the cancellation of telephone services, can be taken.
    • 一种基于OLAP的方法和系统,用于分析可用于检测电信欺诈的客户行为。 首先,收到通话记录。 接下来,基于呼叫记录生成呼叫简档立方体(例如,多客户简档多维数据集)。 然后,基于多客户简档立方体生成基于卷的呼叫模式多维数据集(例如,每个单独客户的调用模式多维数据集)。 然后将基于卷的呼叫模式多维数据集与已知的基于欺诈性的基于卷的呼叫模式进行比较。 如果由比较生成的相似度达到或超过预定阈值,则具有被分析的呼叫模式的特定呼叫者被认为是可疑的。 以这种方式,可以检测到可疑的呼叫活动,并且可以采取适当的补救措施,例如进一步调查或取消电话服务。
    • 96. 发明授权
    • Business processes based on a predictive model
    • 基于预测模型的业务流程
    • US07565304B2
    • 2009-07-21
    • US10176505
    • 2002-06-21
    • Fabio CasatiMing-Chien ShanUmeshwar Dayal
    • Fabio CasatiMing-Chien ShanUmeshwar Dayal
    • G06F17/50G06F7/00
    • G06Q30/06G06Q10/06312G06Q10/0633G06Q10/06375G06Q10/06395G06Q10/067Y10S707/99931
    • Systems and methods of improving business processes are described. These systems and methods enable service providers to improve the quality of services delivered to customers and employees by improving service execution through the optimal selection of resources (e.g., internal resources or external resources, or both) that are invoked to execute the delivered services. In one aspect, process execution data is accessed. Business process instances are classified in accordance with a quality taxonomy. A predictive model including a set of rules for scoring business process outcomes at different stages of the business process is built based upon the classified business process instances. In another aspect, process entities to be invoked at stages of an active business process instance are selected based upon the predictive model. In another aspect, a user is prompted to define a quality taxonomy for classifying outcomes of instances of a business process.
    • 描述了改进业务流程的系统和方法。 这些系统和方法使得服务提供商能够通过调用执行所传递的服务的资源(例如,内部资源或外部资源,或两者)的最佳选择来改进服务执行来提高递送给客户和雇员的服务的质量。 在一个方面,访问过程执行数据。 业务流程实例根据质量分类法进行分类。 包括一组在业务流程不同阶段评估业务流程结果的规则的预测模型是基于分类业务流程实例构建的。 在另一方面,基于预测模型来选择要在活动业务流程实例的阶段被调用的流程实体。 另一方面,提示用户定义用于对业务流程实例的结果进行分类的质量分类法。
    • 99. 发明授权
    • Olap-based customer behavior profiling method and system
    • 基于Olap的客户行为剖析方法和系统
    • US06917940B1
    • 2005-07-12
    • US09523446
    • 2000-03-10
    • Qiming ChenUmeshwar DayalMeichun Hsu
    • Qiming ChenUmeshwar DayalMeichun Hsu
    • G06F17/30G06Q40/08H04M3/22H04M15/00H04M15/04G00F17/30
    • G06F17/30592G06Q40/08H04M3/2218H04M15/00H04M15/04H04M15/43H04M15/47H04M15/58H04M2203/6027H04M2215/0148H04M2215/0188Y10S707/99943
    • An OLAP-based method and system for profiling customer behavior that can be utilized to detect telecommunication fraud. First, call records are received. Next, a calling profile cube (e.g., a multi-customer profile cube) is generated based on the call records. A volume-based calling pattern cube (e.g., a calling pattern cube for each individual customer) is then generated based on the multi-customer profile cube. The volume-based calling pattern cube is then compared with known fraudulent volume-based calling patterns. If the similarities generated by the comparison reaches or exceeds a predetermined threshold, then the particular caller with the calling pattern being analyzed is considered suspicious. In this manner, suspicious calling activity can be detected, and appropriate remedial actions, such as further investigation or the cancellation of telephone services, can be taken.
    • 一种基于OLAP的方法和系统,用于分析可用于检测电信欺诈的客户行为。 首先,收到通话记录。 接下来,基于呼叫记录生成呼叫简档立方体(例如,多客户简档多维数据集)。 然后,基于多客户简档立方体生成基于卷的呼叫模式多维数据集(例如,每个单独客户的调用模式多维数据集)。 然后将基于卷的呼叫模式多维数据集与已知的基于欺诈性的基于卷的呼叫模式进行比较。 如果由比较生成的相似度达到或超过预定阈值,则具有被分析的呼叫模式的特定呼叫者被认为是可疑的。 以这种方式,可以检测到可疑的呼叫活动,并且可以采取适当的补救措施,例如进一步调查或取消电话服务。