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公开(公告)号：US08756171B2
公开(公告)日：2014-06-17
申请号：US13160896
申请日：2011-06-15
CPC分类号： G06N7/005 , G06F17/18 , G06K9/6297 , G06Q10/06 , G06Q10/0631 , G06Q10/06312
摘要： A method for predictive analytics in a semi-structured process including updating, iteratively, at least one probability of a probabilistic process model based on a completed task, wherein updating the at least one probability of the probabilistic process model includes receiving the probabilistic process model associated with a todo list including a plurality of tasks of the semi-structured process, defining a cost of each of the plurality of tasks, prioritizing the plurality of tasks according to the costs, and recommending a next task from the todo list according to a prioritization
摘要翻译： 一种用于半结构化过程中的预测分析的方法，包括基于完成的任务迭代地更新概率过程模型的至少一个概率，其中更新所述概率过程模型的所述至少一个概率包括接收所述概率过程模型 具有包括所述半结构化过程的多个任务的待办事项列表，定义所述多个任务中的每个任务的成本，根据所述成本确定所述多个任务的优先级，以及根据所述优先级排序从所述待办事项列表中推荐下一个任务
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公开(公告)号：US08589331B2
公开(公告)日：2013-11-19
申请号：US12910573
申请日：2010-10-22
IPC分类号： G06N5/04
摘要： A method for predictive analytics in a semi-structured process including receiving traces of the semi-structured process, at least one of the traces including a document content value, determining a process model from the traces, the process model comprising tasks at nodes of the semi-structured process and embodies all possible execution sequences in the process, determining a probabilistic graph including a probability at each of the tasks of the semi-structured process advancing from one task to another task, and combining the process model and probabilistic graph to determine a probabilistic process model including probabilities and strengths of transitions between tasks.
摘要翻译： 一种用于半结构化过程中的预测分析的方法，包括接收所述半结构化过程的痕迹，所述迹线中的至少一个包括文档内容值，从所述迹线确定过程模型，所述过程模型包括 半结构化过程并且在该过程中体现所有可能的执行序列，确定概率图，其包括从一个任务前进到另一个任务的半结构化过程的每个任务的概率，以及组合过程模型和概率图来确定 一个概率过程模型，包括任务之间的转换的概率和强度。
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3.发明申请公开(公告)号：US20110080964A1
公开(公告)日：2011-04-07
申请号：US12808141
申请日：2007-12-12
IPC分类号： H04L27/28
CPC分类号： H04B7/0619 , H04B7/0417
摘要： A method for beamforming is described. The method includes generating a pseudo-random unitary matrix. A first codebook is rotated with the pseudo-random unitary matrix. The method includes generating a second codebook based upon the rotated codebook and a correlation matrix. A codeword is selected from the second codebook using a channel matrix. The correlation matrix is updated based upon the selected codeword. The method includes transmitting an index of the selected codeword in the codebook. The method includes receiving the codeword index. A codebook is consulted using the codeword index to locate a codeword. Beamforming is performed based upon the located codeword. An apparatus is also described.
摘要翻译： 描述了波束成形的方法。 该方法包括生成伪随机酉矩阵。 第一码本用伪随机酉矩阵旋转。 该方法包括基于旋转的码本和相关矩阵生成第二码本。 使用信道矩阵从第二码本中选择码字。 基于选择的码字来更新相关矩阵。 该方法包括在码本中发送所选码字的索引。 该方法包括接收码字索引。 使用码字索引查询码本以定位码字。 基于定位的码字执行波束形成。 还描述了一种装置。
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公开(公告)号：US20120101974A1
公开(公告)日：2012-04-26
申请号：US12910573
申请日：2010-10-22
IPC分类号： G06N5/02
摘要： A method for predictive analytics in a semi-structured process including receiving traces of the semi-structured process, at least one of the traces including a document content value, determining a process model from the traces, the process model comprising tasks at nodes of the semi-structured process and embodies all possible execution sequences in the process, determining a probabilistic graph including a probability at each of the tasks of the semi-structured process advancing from one task to another task, and combining the process model and probabilistic graph to determine a probabilistic process model including probabilities and strengths of transitions between tasks.
摘要翻译： 一种用于半结构化过程中的预测分析的方法，包括接收所述半结构化过程的痕迹，所述迹线中的至少一个包括文档内容值，从所述迹线确定过程模型，所述过程模型包括 半结构化过程并且在该过程中体现所有可能的执行序列，确定概率图，其包括从一个任务前进到另一个任务的半结构化过程的每个任务的概率，以及组合过程模型和概率图来确定 一个概率过程模型，包括任务之间的转换的概率和强度。
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公开(公告)号：US20120323827A1
公开(公告)日：2012-12-20
申请号：US13160896
申请日：2011-06-15
IPC分类号： G06F15/18
CPC分类号： G06N7/005 , G06F17/18 , G06K9/6297 , G06Q10/06 , G06Q10/0631 , G06Q10/06312
摘要： A method for predictive analytics in a semi-structured process including updating, iteratively, at least one probability of a probabilistic process model based on a completed task, wherein updating the at least one probability of the probabilistic process model includes receiving the probabilistic process model associated with a todo list including a plurality of tasks of the semi-structured process, defining a cost of each of the plurality of tasks, prioritizing the plurality of tasks according to the costs, and recommending a next task from the todo list according to a prioritization
摘要翻译： 一种用于半结构化过程中的预测分析的方法，包括基于完成的任务迭代地更新概率过程模型的至少一个概率，其中更新所述概率过程模型的所述至少一个概率包括接收所述概率过程模型 具有包括所述半结构化过程的多个任务的待办事项列表，定义所述多个任务中的每个任务的成本，根据所述成本确定所述多个任务的优先级，以及根据所述优先级排序从所述待办事项列表中推荐下一个任务
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6.发明申请公开(公告)号：US20120259792A1
公开(公告)日：2012-10-11
申请号：US13081299
申请日：2011-04-06
IPC分类号： G06Q10/00
CPC分类号： G06Q10/0633 , G06Q10/06 , G06Q10/10
摘要： Systems and methods are provided for the automatic detection of different types of changes in a business process. A system includes a transformer for performing a transformation on data derived from process traces or models extracted from the processes traces to generate transformed data. The process traces are for a business process corresponding to a set of related tasks for a specified goal. Each of the models has at least a transition matrix of dimension N×N, where N is a total number of the related tasks. The system further includes a change detector for performing change detection on the transformed data to identify at least one of when a change occurs in the business process and a degree of the change.
摘要翻译： 提供了系统和方法，用于自动检测业务流程中不同类型的更改。 一种系统包括一个变换器，用于对从过程轨迹中得到的数据进行变换，或者从过程轨迹提取的模型进行变换，以生成转换后的 过程跟踪用于与指定目标的一组相关任务相对应的业务流程。 每个模型至少具有维度N×N的转移矩阵，其中N是相关任务的总数。 该系统还包括一个改变检测器，用于对变换后的数据执行改变检测，以识别在业务处理中发生变化的时间和变化的程度中的至少一个。
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