Using commercial share of wallet to make lending decisions
    61.
    发明申请
    Using commercial share of wallet to make lending decisions 有权
    使用钱包的商业份额作出贷款决定

    公开(公告)号:US20070226130A1

    公开(公告)日:2007-09-27

    申请号:US11586737

    申请日:2006-10-26

    IPC分类号: G06Q40/00

    CPC分类号: G06Q40/025 G06Q40/08

    摘要: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Banks and lenders can use CSoW/CSoSW to determine who to lend to and who to deny credit to, as well as for pricing loans and other products in a dynamic way. Banks and lenders can also determine which customers should be retained, as well as identify loans which are likely to default.

    摘要翻译: 消费钱包(“CSoSW”)的商业规模是包括现金在内的业务的总体业务支出,但不包括有条件的项目。 钱包的商业份额(“CSoW”)是由特定金融公司捕获的消费钱包的部分。 建模方法利用各种数据源来提供描述公司支出能力的输出。 银行和贷款人可以使用CSoW / CSoSW来确定谁借贷和谁拒绝信贷,以及以动态方式定价贷款和其他产品。 银行和贷款人还可以确定哪些客户应该保留,并确定可能违约的贷款。

    Using commercial share of wallet to manage investments
    62.
    发明申请
    Using commercial share of wallet to manage investments 审中-公开
    使用钱包的商业份额来管理投资

    公开(公告)号:US20070226114A1

    公开(公告)日:2007-09-27

    申请号:US11586728

    申请日:2006-10-26

    IPC分类号: G06Q40/00

    CPC分类号: G06Q40/08 G06Q40/06

    摘要: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Managers of investment vehicles, such as mutual fund managers, can use CSoW/CSoSW as one of the parameters to be considered when picking stocks to buy, sell, or short. Investment managers can also use CSoW/CSoSW to predict which stocks in their portfolio are likely to suffer a price fall.

    摘要翻译: 消费钱包(“CSoSW”)的商业规模是包括现金在内的业务的总体业务支出,但不包括有条件的项目。 钱包的商业份额(“CSoW”)是由特定金融公司捕获的消费钱包的部分。 建模方法利用各种数据源来提供描述公司支出能力的输出。 投资工具的经理,如共同基金经理,可以使用CSoW / CSoSW作为买入,卖出或卖出股票时考虑的参数之一。 投资经理也可以使用CSoW / CSoSW预测其投资组合中的哪些股票可能会遭受价格下跌。

    Using commercial share of wallet to analyze vendors in online marketplaces
    63.
    发明申请
    Using commercial share of wallet to analyze vendors in online marketplaces 有权
    使用钱包的商业份额来分析在线市场的供应商

    公开(公告)号:US20070067207A1

    公开(公告)日:2007-03-22

    申请号:US11497529

    申请日:2006-08-02

    IPC分类号: G06F17/30

    摘要: Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Online marketplaces that allow small businesses to advertise their services can use this CSoW/CSoSW modeling approach to provide a rating that gives an indication of the business prospects of the vendors listed on their sites. Further, such marketplaces can combine this information with their own internal analytics to provide a single holistic rating.

    摘要翻译: 消费钱包(“CSoSW”)的商业规模是包括现金在内的业务的总体业务支出,但不包括有条件的项目。 钱包的商业份额(“CSoW”)是由特定金融公司捕获的消费钱包的部分。 建模方法利用各种数据源来提供描述公司支出能力的输出。 允许小型企业宣传其服务的在线市场可以使用这种CSoW / CSoSW建模方法来提供一个评级,以表明在其网站上列出的供应商的业务前景。 此外,这种市场可以将这些信息与自己的内部分析相结合,以提供单一的整体评级。

    Method and apparatus for consumer interaction based on spend capacity
    66.
    发明申请
    Method and apparatus for consumer interaction based on spend capacity 有权
    基于消费能力的消费者互动的方法和装置

    公开(公告)号:US20060242046A1

    公开(公告)日:2006-10-26

    申请号:US11169588

    申请日:2005-06-30

    IPC分类号: G06Q40/00

    摘要: Share of Wallet (“SoW”) is a modeling approach that utilizes various data sources to provide outputs that describe a consumer's spending capability, tradeline history including balance transfers, and balance information. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new applicant evaluation, and customer management across the lifecycle. In addition to credit card companies, SoW outputs may be useful to companies issuing, for example: private label cards, life insurance, on-line brokerages, mutual funds, car sales/leases, hospitals, and home equity lines of credit or loans. “Best customer” models can correlate SoW outputs with various customer groups. A SoW score focusing on a consumer's spending capacity can be used in the same manner as a credit bureau score.

    摘要翻译: 电子钱包(“SoW”)的分享是一种建模方法,利用各种数据来源提供描述消费者支出能力,交易历史,包括余额转移和余额信息的产出。 这些输出可以附加到客户和潜在客户的数据配置文件中,并可用于支持整个生命周期中涉及探矿,新的申请人评估和客户管理的决策。 除了信用卡公司,SoW产品可能对公司发行有用,例如:私人标签卡,人寿保险,在线经纪,共同基金,汽车销售/租赁,医院和家庭信用等级的信贷或贷款。 “最佳客户”模型可以将SoW输出与各种客户群体相关联。 以消费者支出能力为重点的SoW评分可以与信用局评分相同。

    Method and apparatus for estimating the spend capacity of consumers
    67.
    发明申请
    Method and apparatus for estimating the spend capacity of consumers 有权
    用于估计消费者支出能力的方法和装置

    公开(公告)号:US20060242039A1

    公开(公告)日:2006-10-26

    申请号:US10978298

    申请日:2004-10-29

    IPC分类号: G06Q40/00

    摘要: Time series consumer spending data, point-in-time balance information, internal customer financial data and consumer panel information provides input to a model for consumer spend behavior on plastic instruments or other financial accounts, from which approximations of spending ability may be reliably identified and utilized to promote additional consumer spending.

    摘要翻译: 时间序列消费者支出数据,时间平衡信息,内部客户财务数据和消费者面板信息为塑料工具或其他金融账户上的消费者支出行为模型提供了投入,可以可靠地识别消费能力的近似值, 用于促进额外的消费支出。

    System and method for modeling conditional dependence for anomaly detection in machine condition monitoring
    68.
    发明授权
    System and method for modeling conditional dependence for anomaly detection in machine condition monitoring 失效
    在机器状态监测中对异常检测进行条件依赖建模的系统和方法

    公开(公告)号:US08694283B2

    公开(公告)日:2014-04-08

    申请号:US13186538

    申请日:2011-07-20

    申请人: Chao Yuan

    发明人: Chao Yuan

    IPC分类号: G06F17/18 G05B17/02

    摘要: A method for predicting sensor output values of a machine sensor monitoring system includes providing a set of input sensor data X and a set of output sensor data Y for a plurality of sensors the monitor the performance of a machine, learning a functional relationship that maps the input sensor data to the output sensor data by maximizing a logarithm of a marginalized conditional probability function P(Y|X) where a dependence of the output sensor data Y with respect to unknown hidden machine inputs u has been marginalized, providing another set of input sensor data X′, and calculating expected values of the output sensor data Y′ using the input sensor data X′ and the marginalized conditional probability function P(Y|X′), where the calculated expectation values reflect the dependence of the output sensor data Y″ with respect to the unknown hidden machine inputs u.

    摘要翻译: 一种用于预测机器传感器监测系统的传感器输出值的方法包括提供一组输入传感器数据X和用于多个传感器的一组输出传感器数据Y,监视机器的性能,学习映射 通过最大化边缘化条件概率函数P(Y | X)的对数,将传感器数据输入到输出传感器数据,其中输出传感器数据Y相对于未知隐藏机器输入u的依赖已被边缘化,提供另一组输入 传感器数据X',并且使用输入传感器数据X'和边缘化条件概率函数P(Y | X')计算输出传感器数据Y'的期望值,其中计算的期望值反映输出传感器数据 Y“相对于未知的隐藏机器输入u。

    Method and apparatus for improved fault detection in power generation equipment
    69.
    发明授权
    Method and apparatus for improved fault detection in power generation equipment 失效
    发电设备故障检测方法及装置

    公开(公告)号:US07953577B2

    公开(公告)日:2011-05-31

    申请号:US11202861

    申请日:2005-08-12

    IPC分类号: G06F11/30 G21C17/00

    CPC分类号: G05B23/0254 G05B23/0297

    摘要: A method and apparatus for detecting faults in power plant equipment is discloses using sensor confidence and an improved method of identifying the normal operating range of the power generation equipment as measured by those sensors. A confidence is assigned to a sensor in proportion to the residue associated with that sensor. If the sensor has high residue, a small confidence is assigned to the sensor. If a sensor has a low residue, a high confidence is assigned to that sensor, and appropriate weighting of that sensor with other sensors is provided. A feature space trajectory (FST) method is used to model the normal operating range curve distribution of power generation equipment characteristics. Such an FST method is illustratively used in conjunction with a minimum spanning tree (MST) method to identify a plurality of nodes and to then connect those with line segments that approximate a curve.

    摘要翻译: 一种用于检测发电厂设备故障的方法和装置公开了使用传感器置信度和一种通过这些传感器测量的识别发电设备的正常工作范围的改进方法。 与传感器相关的残差成比例地分配给传感器的置信度。 如果传感器具有高残留量,那么传感器的信心就很小。 如果传感器具有较低的残留量,则会将高置信度分配给该传感器,并提供该传感器与其他传感器的适当加权。 使用特征空间轨迹(FST)方法对发电设备特性的正常工作范围曲线分布进行建模。 这种FST方法被说明性地与最小生成树(MST)方法一起使用以识别多个节点,然后将它们与近似于曲线的线段连接。

    Incremental learning of nonlinear regression networks for machine condition monitoring
    70.
    发明授权
    Incremental learning of nonlinear regression networks for machine condition monitoring 有权
    用于机器状态监测的非线性回归网络的增量学习

    公开(公告)号:US07844558B2

    公开(公告)日:2010-11-30

    申请号:US11866554

    申请日:2007-10-03

    IPC分类号: G06F17/00 G06N5/00

    摘要: A method for identifying a potential fault in a system includes obtaining a set of training data. A first kernel is selected from a library of two or more kernels and the first kernel is added to a regression network. A next kernel is selected from the library of two or more kernels and the next kernel is added to the regression network. The regression network is refined. A potential fault is identified in the system using the refined regression network.

    摘要翻译: 用于识别系统中的潜在故障的方法包括获得一组训练数据。 从两个或多个内核的库中选择第一个内核,并将第一个内核添加到回归网络。 从两个或多个内核的库中选择下一个内核,并将下一个内核添加到回归网络。 回归网络细化。 使用精确回归网络在系统中识别出潜在的故障。