Composite Driver Derivation
    1.
    发明申请
    Composite Driver Derivation 审中-公开
    复合驱动器推导

    公开(公告)号:US20130238395A1

    公开(公告)日:2013-09-12

    申请号:US13883498

    申请日:2010-11-27

    Applicant: Jerry Z. Shan

    Inventor: Jerry Z. Shan

    CPC classification number: G06Q30/0202 G06Q10/06

    Abstract: A crossover point between a first driver and a second driver over a series of time points is identified. Each of the first driver and the second driver is a variable, and affects or relates to revenue to be forecast. A composite driver from the first driver and the second driver is derived based on the revenue, using a model having one or more first weighting parameters for the time points before the crossover point and one or more second weighting parameters for the time points after the crossover point. The crossover point is a time point within the series of time points at which the revenue transitions from being more affected by the first driver than by the second driver to being more affected by the second driver than by the first driver.

    Abstract translation: 识别在一系列时间点上的第一驱动器和第二驱动器之间的交叉点。 第一个驾驶员和第二个驾驶员中的每一个都是一个变量,影响或涉及要预测的收入。 基于收入导出来自第一驱动器和第二驱动器的复合驱动器,使用具有在交叉点之前的时间点具有一个或多个第一加权参数的模型和在交叉之后的时间点的一个或多个第二加权参数 点。 交叉点是一系列时间点内的时间点,其中收入从第一司机受到更多的影响而不是由第二个驾驶员转变为受第二个驾驶员的影响比第一个驾驶员更多。

    SELECTING SUPPLIERS TO PERFORM SERVICES FOR AN ENTERPRISE
    2.
    发明申请
    SELECTING SUPPLIERS TO PERFORM SERVICES FOR AN ENTERPRISE 审中-公开
    选择供应商为企业提供服务

    公开(公告)号:US20120123816A1

    公开(公告)日:2012-05-17

    申请号:US13386402

    申请日:2010-03-13

    CPC classification number: G06Q10/06 G06Q10/063

    Abstract: One embodiment is a method that receives historical data of suppliers and applies, to the historical data, a mathematical optimization system that includes a set of mathematical equations and inequalities that express capabilities and capacities of the suppliers. The mathematical optimization system includes an objective function that minimizes a number of the suppliers to perform third-party labor services for an enterprise. The method selects a sub-set of the suppliers to perform the third-party labor services for the enterprise.

    Abstract translation: 一个实施例是接收供应商的历史数据并向历史数据应用数学优化系统的方法,数学优化系统包括表示供应商的能力和能力的一组数学方程和不等式。 数学优化系统包括一个目标函数,使一些供应商最大限度地减少为企业执行第三方劳务服务。 该方法选择供应商的子集,为企业执行第三方劳务。

    SYSTEM AND METHOD FOR CONSTRUCTING FORECAST MODELS
    3.
    发明申请
    SYSTEM AND METHOD FOR CONSTRUCTING FORECAST MODELS 有权
    用于构造预测模型的系统和方法

    公开(公告)号:US20110173144A1

    公开(公告)日:2011-07-14

    申请号:US12687458

    申请日:2010-01-14

    CPC classification number: G06N99/005

    Abstract: Embodiments of the present invention include a computational forecasting system that includes an identity of a dependent variable of interest and identities of a plurality of candidate indicators along with historical data or stored references to historical data, forecast-problem parameters stored in an electronic memory of the one or more electronic computers, an independent-variable selection component that generates correlations to the dependent variable of interest and lag times for the candidate indicators, and uses the generated correlations and lag times to select a number of the candidate indicators as a set of independent variables, and a model-generation component that, using a regression method, generates forecast models for the dependent variable of interest until a model that meets an acceptance criterion or criteria is obtained.

    Abstract translation: 本发明的实施例包括计算预测系统,其包括感兴趣的因变量的身份和多个候选指标的身份以及历史数据或存储在历史数据中的参考,存储在电子存储器中的预测问题参数 一个或多个电子计算机,产生与候选指标的感兴趣的因变量和滞后时间的相关性的独立变量选择部件,并且使用所生成的相关性和滞后时间来将多个候选指标作为一组独立的 变量和模型生成组件,使用回归方法生成感兴趣的因变量的预测模型,直到获得符合接受标准或标准的模型。

    Building market models for plural market participants
    4.
    发明授权
    Building market models for plural market participants 有权
    为多个市场参与者建立市场模型

    公开(公告)号:US07921025B2

    公开(公告)日:2011-04-05

    申请号:US11879977

    申请日:2007-07-19

    Applicant: Jerry Z. Shan

    Inventor: Jerry Z. Shan

    CPC classification number: G06Q30/02 G06Q30/0201 G06Q30/0202 G06Q30/0206

    Abstract: A trend of attributes associated with plural market participants is determined. A representation of the trend is computed, and market models for the market participants are built according to the representation of the trend.

    Abstract translation: 确定与多个市场参与者相关联的属性的趋势。 计算趋势的代表,并根据趋势的表示构建市场参与者的市场模型。

    Forecasting based on a collection of data including an initial collection and estimated additional data values
    6.
    发明授权
    Forecasting based on a collection of data including an initial collection and estimated additional data values 有权
    基于数据收集的预测,包括初始收集和估计的附加数据值

    公开(公告)号:US07765122B2

    公开(公告)日:2010-07-27

    申请号:US11879924

    申请日:2007-07-19

    Applicant: Jerry Z. Shan

    Inventor: Jerry Z. Shan

    CPC classification number: G06F17/30548 G06F17/30536 G06Q30/0202

    Abstract: To forecast data, an initial collection of data having a first length is received. In response to determining that the first length of the initial collection of data is insufficient for performing forecasting using a forecasting algorithm, an order of the initial collection of data is reversed to provide a reversed collection of data. Forecasting is applied on the reversed collection of data to estimate additional data values to combine with the initial collection of data to provide a second collection of data having a second length greater than the first length. The forecasting algorithm is applied on the second collection of data.

    Abstract translation: 为了预测数据,接收到具有第一长度的数据的初始集合。 响应于确定初始数据收集的第一长度不足以使用预测算法执行预测,数据的初始收集的顺序被反转以提供反向的数据收集。 将预测应用于数据的反向收集以估计附加数据值以与数据的初始收集相结合,以提供具有大于第一长度的第二长度的第二数据集合。 预测算法应用于第二个数据集合。

    Performing quality determination of data
    7.
    发明授权
    Performing quality determination of data 有权
    执行数据质量确定

    公开(公告)号:US07505868B1

    公开(公告)日:2009-03-17

    申请号:US11117989

    申请日:2005-04-29

    Applicant: Jerry Z. Shan

    Inventor: Jerry Z. Shan

    CPC classification number: G06F11/0751 G06F11/0727 G06Q10/10

    Abstract: To perform data quality assurance, data values from a data source at discrete time points up to time point t are received. At least one estimated value is computed based on at least some of the received data values, and the received data values and estimated data values are applied to an algorithm. A data quality determination of the data value for time point t is performed based on the algorithm.

    Abstract translation: 为了执行数据质量保证,接收到从离散时间点到时间点t的数据源的数据值。 至少基于所接收的数据值中的至少一些来计算估计值,并将接收的数据值和估计的数据值应用于算法。 基于该算法执行时间点t的数据值的数据质量确定。

    Market forecasting
    8.
    发明授权
    Market forecasting 有权
    市场预测

    公开(公告)号:US08374904B2

    公开(公告)日:2013-02-12

    申请号:US12946367

    申请日:2010-11-15

    Applicant: Jerry Z. Shan

    Inventor: Jerry Z. Shan

    CPC classification number: G06Q40/06

    Abstract: Methods, machine readable media, and systems for market forecasting are provided. An example of a method for market forecasting includes modeling market characteristics of market participants for a type of product and deriving variability of an attribute corresponding to a market characteristic coefficient of the type of product for each of the market participants. The method includes resampling from a distribution of the variability of the attribute for each of the market participants and remodeling the market characteristics of the market participants for the type of product using the resampled attribute. The method includes forecasting future market characteristics of the market participants for the type of product according to the remodeled market characteristics.

    Abstract translation: 提供了方法,机器可读介质和市场预测系统。 市场预测方法的一个例子包括对一种类型的产品的市场参与者的市场特征进行模拟,并且导出与每个市场参与者的产品类型的市场特征系数对应的属性的变异性。 该方法包括从每个市场参与者的属性的变异性的分布中重新采样,并使用重新采样的属性重新设计市场参与者的市场参与者的类型。 该方法包括根据重塑的市场特征预测市场参与者对于产品类型的市场特征。

    System and method for estimating a parameter that represents data describing a physical system
    9.
    发明授权
    System and method for estimating a parameter that represents data describing a physical system 有权
    用于估计表示描述物理系统的数据的参数的系统和方法

    公开(公告)号:US08290880B2

    公开(公告)日:2012-10-16

    申请号:US12427924

    申请日:2009-04-22

    CPC classification number: G06Q40/02 G06Q30/0207 G06Q40/00

    Abstract: There is provided a system and method for estimating a parameter that represents data describing a physical system. An exemplary method comprises randomizing data representative of a population of items for which the parameter is known. The method may additionally comprise generating data representative of a pseudo population of items using a known perturbation, the data representative of the pseudo population of items being included with the data representative of the population of items for which the parameter is known to form a revised population and selecting a bootstrap sample of a minimum sample size of the revised population. A sensitivity study is performed on the parameters of the items comprising the bootstrap sample to determine a level of change of a predicted parameter value relative to a parameter value of the sample. At least one of a range, a probability distribution or the minimum sample size is revised based on the parameter for items comprising the bootstrap sample to produce at least one of a revised range, a revised probability distribution or a revised minimum sample size, taking into account an effect of the known perturbation applied to the pseudo population. The steps of selecting, performing and revising are repeated until the sensitivity study indicates that the level of change of the parameter is acceptably small. A value of the parameter is estimated for the population based on a parameter corresponding to the acceptably small level of change.

    Abstract translation: 提供了一种用于估计表示描述物理系统的数据的参数的系统和方法。 一种示例性方法包括随机化表示参数已知的项目群体的数据。 该方法可以另外包括使用已知的扰动来生成表示项目的伪群体的数据,代表项目的伪群体的数据被包括在代表已知该参数的项目群体形成修订的群体的数据中 并选择修订人口的最小样本量的引导样本。 对包括引导样本的项目的参数执行灵敏度研究以确定相对于样本的参数值的预测参数值的变化水平。 基于包括引导样本的项目的参数来修改范围,概率分布或最小样本大小中的至少一个,以产生经修改的范围,修订的概率分布或修订的最小样本大小中的至少一个, 考虑了应用于伪群体的已知扰动的影响。 重复选择,执行和修改的步骤,直到灵敏度研究表明参数的变化水平可接受的较小。 基于对应于可接受的较小变化水平的参数,为群体估计参数的值。

    CALL CENTER RESOURCE ALLOCATION
    10.
    发明申请
    CALL CENTER RESOURCE ALLOCATION 有权
    致电中心资源分配

    公开(公告)号:US20120087486A1

    公开(公告)日:2012-04-12

    申请号:US13267231

    申请日:2011-10-06

    CPC classification number: H04M3/5175 G06Q10/06311 H04M3/523

    Abstract: A method for determining call center resource allocation can include modeling call center performance over an operations time period using a computer. A number of replicas of the modeled call center performance are simulated, using the computer, over a planning time period, each replica having random contact arrivals and contact service times following a stochastic arrival and service process according to a probability distributions of inter-arrival time and service time. Multiple iterations of each simulation are run on the computer to optimize call center resource allocation. A particular simulation iteration is tested against a criterion of convergence, and call center resource is allocated based on the particular simulation iteration with a successful criterion of convergence.

    Abstract translation: 用于确定呼叫中心资源分配的方法可以包括使用计算机在操作时间段内对呼叫中心的性能进行建模。 在计划时间段内,使用计算机模拟了建模的呼叫中心性能的多个副本,每个副本根据随机到达和服务过程之间的随机接触到达和接触服务时间,根据到达时间的概率分布 和服务时间。 在计算机上运行每个模拟的多次迭代,以优化呼叫中心资源分配。 根据收敛标准测试特定的模拟迭代,并且基于具有成功的收敛标准的特定模拟迭代来分配呼叫中心资源。

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