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    Method and apparatus for pre-emptive operational risk management and risk discovery
    4.
    发明申请
    Method and apparatus for pre-emptive operational risk management and risk discovery 审中-公开
    预防性操作风险管理和风险发现的方法和设备

    公开(公告)号：US20070208600A1

    公开(公告)日：2007-09-06

    申请号：US11364158

    申请日：2006-03-01

    申请人： Steven Babus ,  Wanli Min ,  Bala Ramachandran ,  Jonathan Rosenoer

    发明人： Steven Babus ,  Wanli Min ,  Bala Ramachandran ,  Jonathan Rosenoer

    IPC分类号： G06F9/44

    CPC分类号： G06Q10/04 ,  G06Q10/0635 ,  G06Q30/0202

    摘要： A computer implemented method and a computer system implementing the method provide enterprises with pre-emptive/proactive operational risk management. First, historical data on the occurrence of operational risk events and other internal business/external metrics and indicators are collected. This is followed by construction of a model for correlating the risk events with internal and external metrics and indicators. This can result in the estimation of the probability of occurrence of risk events and a model for the severity of a loss event (in termns of, say, dollar amount) as a function of the various variables that are related to or have leverage on the business operation. The Key Risk Indicators for the business are then identified based on the model. Following this, the identified key risk factors are forecasted for future time periods and used to identify early warnings of risk and is further validated. This is used as a basis for the identification and execution of appropriate proactive/pre-emptive risk management and mitigation actions.

    摘要翻译： 计算机实现的方法和实施该方法的计算机系统为企业提供先发制人/主动操作风险管理。 首先收集关于操作风险事件发生的历史数据和其他内部业务/外部指标和指标。 随后，建立一个将风险事件与内部和外部指标和指标相关联的模型。 这可以导致风险事件的发生概率的估计和损失事件的严重程度的模型（例如，例如，美元金额）作为与相关或具有杠杆作用的各种变量的函数 商业运营。 然后根据模型确定业务的主要风险指标。 此后，确定的关键风险因素预测未来时间段，并用于识别早期的风险预警，并进一步验证。 这被用作识别和执行适当的主动/先发制人的风险管理和缓解行动的基础。

    Most informative thresholding of heterogeneous data
    5.
    发明授权
    Most informative thresholding of heterogeneous data 失效
    最有信息的异构数据门槛

    公开(公告)号：US08055532B2

    公开(公告)日：2011-11-08

    申请号：US11396612

    申请日：2006-04-04

    申请人： Wanli Min ,  Aleksandra Mojsilovic

    发明人： Wanli Min ,  Aleksandra Mojsilovic

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/02 ,  G06Q10/0631 ,  G06Q10/06311 ,  G06Q30/0204 ,  G06Q30/0241 ,  G06Q40/00

    摘要： A method of thresholding of a database of customer purchasing history using a computer, includes providing a customer purchase history database including data regarding customer satisfaction, awareness of vendor brands, previous purchasing history, and size of customer budget, providing a predetermined threshold regarding the data, establishing, in the computer, boundaries surrounding the predetermined threshold, splitting the data, in the computer, to maximize the differences in the data across the split; generating, in the computer, a model of the data, in the computer, based upon the split, and allocating marketing resources based upon the model.

    摘要翻译： 使用计算机对客户采购历史数据库进行阈值化的方法包括提供客户购买历史数据库，其中包括关于客户满意度的信息，供应商品牌的意识，先前的采购历史和客户预算的大小，提供关于数据的预定阈值 在计算机中建立围绕预定阈值的边界，在计算机中分割数据以最大化跨越分割的数据的差异; 在计算机中，在计算机中基于分割生成数据的模型，并基于模型分配营销资源。

    Process for software support resource allocation based on analysis of categorized field problems
    6.
    发明授权
    Process for software support resource allocation based on analysis of categorized field problems 有权
    基于分类领域问题分析的软件支持资源分配流程

    公开(公告)号：US07831868B2

    公开(公告)日：2010-11-09

    申请号：US12062270

    申请日：2008-04-03

    申请人： Kathryn Allyn Bassin ,  Wanli Min ,  Bonnie Kathryn Ray ,  Padmanabhan Santhanam

    发明人： Kathryn Allyn Bassin ,  Wanli Min ,  Bonnie Kathryn Ray ,  Padmanabhan Santhanam

    IPC分类号： G06F11/00

    CPC分类号： G06Q10/06

    摘要： A method and system estimates future software support requirements based on statistical models of previous observations of support requests, either for the same product or for a different product having features previously identified as correlated with features of a new product. The estimates include an estimated volume of support requests and an estimated type of support requests. The estimated types include the activity occurring at the time of the failure, an identifier as to whether a defect in the software was previously known, and the like. The estimates are used to estimate and allocate support resources prior to support requests being received, and prior to a software product being released.

    摘要翻译： 一种方法和系统基于先前对支持请求的观察的统计模型来估计未来的软件支持需求，对于相同的产品或具有先前识别为与新产品的特征相关的特征的不同产品。 估计数包括支持请求的估计数量和估计类型的支持请求。 估计的类型包括在故障时发生的活动，关于软件中的缺陷以前是否已知的标识符等。 估计用于在接收到支持请求之前以及软件产品发布之前估计和分配支持资源。

    Method and system for subject-adaptive real-time sleep stage classification
    7.
    发明授权
    Method and system for subject-adaptive real-time sleep stage classification 失效
    用于主题适应性实时睡眠阶段分类的方法和系统

    公开(公告)号：US07509163B1

    公开(公告)日：2009-03-24

    申请号：US11863586

    申请日：2007-09-28

    申请人： Gang Luo ,  Wanli Min

    发明人： Gang Luo ,  Wanli Min

    IPC分类号： A61B5/05

    CPC分类号： G06K9/00536 ,  A61B5/0476 ,  A61B5/16 ,  A61B5/4812 ,  A61B5/7267

    摘要： A method of subject-adaptive, real-time sleep stage classification to classify electroencephalogram sleep recordings into sleep stages to determine whether a subject exhibits a sleep disorder includes performing subject adaptation to improve classification accuracy for a new subject with limited training data, the performing subject adaptation comprises using linear-chain conditional random fields and potential functions, training the linear-chain conditional random fields using the training data, continuously receiving the electroencephalogram waves, continuously extracting features from the electroencephalogram waves, the extracting features comprising transforming each of the electroencephalogram waves to capture information embedded in the electroencephalogram waves, and continuously classifying the sleep stages according to extracted features and learned parameters from the linear-chain conditional random fields.

    摘要翻译： 一种主题适应性实时睡眠阶段分类方法，将脑电图睡眠记录分类到睡眠阶段，以确定受试者是否表现出睡眠障碍，包括进行受试者适应，以提高具有有限训练数据的新受试者的分类准确性， 适应包括使用线性链条件随机场和潜在函数，使用训练数据训练线性链条件随机场，连续接收脑电波，从脑电波中连续提取特征，提取特征包括变换每个脑电波 捕获嵌入在脑电波中的信息，并且根据提取的特征和来自线性链条件随机场的学习参数来连续分类睡眠阶段。

    Vehicle arrival prediction using multiple data sources including passenger bus arrival prediction
    8.
    发明授权
    Vehicle arrival prediction using multiple data sources including passenger bus arrival prediction 有权
    使用多个数据源的车辆到达预测，包括乘客客车到达预测

    公开(公告)号：US09177473B2

    公开(公告)日：2015-11-03

    申请号：US12831785

    申请日：2010-07-07

    申请人： Wanli Min ,  Laura Wynter

    发明人： Wanli Min ,  Laura Wynter

    IPC分类号： G08G1/123

    CPC分类号： G08G1/123

    摘要： A system, method and computer program product for estimating a vehicle arrival time. The system receives information representing prior travel times of vehicles between pre-determined vehicle stops along a vehicle route. The system receives real-time data representing a current journey. The current journey refers to a movement of a vehicle currently traveling along the route. The system calculates a regular trend representing the current journey based on the received prior travel times information and the received real-time data. The system computes a deviation from the regular trend in the current journey. The system determines a future traffic status in subsequent vehicle stops in the current journey. The system estimates, for the vehicle, each arrival time of each subsequent vehicle stop based on the calculated regular trend, the computed deviation and the determined future traffic status.

    摘要翻译： 一种用于估计车辆到达时间的系统，方法和计算机程序产品。 系统接收表示沿车辆路线的预定车辆停靠点之间的车辆的先前行驶时间的信息。 系统接收表示当前行程的实时数据。 目前的旅程是指当前沿着路线行驶的车辆的运动。 系统根据接收的先前行程时间信息和接收到的实时数据，计算表示当前行程的规则趋势。 该系统计算出与当前旅程中常规趋势的偏差。 该系统确定当前旅程中后续车站的未来交通状况。 系统估计，对于车辆，基于所计算的常规趋势，计算的偏差和确定的未来交通状况，每个后续车辆停止的每个到达时间。

    METHOD AND SYSTEM FOR FORECASTING USING AN ONLINE ANALYTICAL PROCESSING DATABASE
    9.
    发明申请
    METHOD AND SYSTEM FOR FORECASTING USING AN ONLINE ANALYTICAL PROCESSING DATABASE 有权
    使用在线分析处理数据库进行预测的方法和系统

    公开(公告)号：US20080243660A1

    公开(公告)日：2008-10-02

    申请号：US11693999

    申请日：2007-03-30

    申请人： Yasuo Amemiya ,  Jonathan R. M. Hosking ,  Wanli Min ,  Laura Wynter

    发明人： Yasuo Amemiya ,  Jonathan R. M. Hosking ,  Wanli Min ,  Laura Wynter

    IPC分类号： G06Q40/00

    CPC分类号： G06Q40/02 ,  G06Q40/00

    摘要： A method (and system) for providing a forecast, the method including providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across all categories at the lowest level of the first dimension based upon an aggregation of the calculated forecasts for each category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, and storing the difference in a dummy category at the lowest level of the first dimension.

    摘要翻译： 一种用于提供预测的方法（和系统），所述方法包括提供在第一维度中存储数据的多维数据库，计算高于第一维度中的最低级别的级别的第一预测 数据库，计算在第一维度的最低级别内的每个类别的预测，基于在所述第一维度的最低级别内的每个类别的所计算的预测的聚合来聚合所述第一维度的最低级别的所有类别的第二预测 第一维度，确定第一预测和第二预测之间的差异，以及将差值存储在第一维度的最低水平处。