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    • 1. 发明申请
    • Techniques for performing business analysis based on incomplete and/or stage-based data
    • 基于不完整和/或基于阶段的数据执行业务分析的技术
    • US20050055257A1
    • 2005-03-10
    • US10654738
    • 2003-09-04
    • Deniz SenturkChristina LaCombRoger HoerlSnehil GambhirPeter Kalish
    • Deniz SenturkChristina LaCombRoger HoerlSnehil GambhirPeter Kalish
    • G06Q10/00G06F17/60
    • G06Q10/10G06Q10/063G06Q30/0201
    • Electrical data processing techniques are described for performing business analysis based on datasets that are incomplete (e.g., contain censored data) and/or based on datasets that are derived from a stage-based business operation. A first technique offsets the effects of error caused by the incomplete dataset by performing a trending operation followed by a de-trending operation. A second technique provides a model containing multiple sub-models, where the output of one sub-model serves as the input to another sub-model in recursive fashion. A third technique determines when a specified event is likely to occur with respect to a given asset by first discriminating whether the event is very unlikely to occur; if the asset does not meet this initial test, it is further processed by a second sub-model, which determines the probability that the specified event will occur for each of a specified series of time intervals.
    • 描述了用于基于不完整(例如,包含审查数据)和/或基于从基于阶段的业务操作导出的数据集的数据集执行业务分析的电气数据处理技术。 第一种技术通过执行趋势化操作,然后进行去趋势操作来抵消由不完整数据集引起的错误的影响。 第二种技术提供了包含多个子模型的模型,其中一个子模型的输出以递归的方式用作另一个子模型的输入。 第三种技术通过首先区分事件是否不大可能发生,确定指定事件何时相对于给定资产可能发生; 如果该资产不符合该初始测试,则其进一步由第二子模型进行处理,该第二子模型确定指定事件将针对指定的一系列时间间隔中的每一个发生的概率。