会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 7. 发明申请
    • Composite Driver Derivation
    • 复合驱动器推导
    • US20130238395A1
    • 2013-09-12
    • US13883498
    • 2010-11-27
    • Jerry Z. Shan
    • Jerry Z. Shan
    • G06Q30/02
    • G06Q30/0202G06Q10/06
    • 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.
    • 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。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR CONSTRUCTING FORECAST MODELS
    • 用于构造预测模型的系统和方法
    • US20110173144A1
    • 2011-07-14
    • US12687458
    • 2010-01-14
    • Jerry Z. ShanRajan LukoseHenri J. SuermondtEvan R. Krishenbaum
    • Jerry Z. ShanRajan LukoseHenri J. SuermondtEvan R. Krishenbaum
    • G06N3/12G06F15/18
    • G06N99/005
    • 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.
    • 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。