首页> 外国专利> A METHOD AND SYSTEM FOR GENERATING A DECISION-MAKING ALGORITHM FOR AN ENTITY TO ACHIEVE AN OBJECTIVE

A METHOD AND SYSTEM FOR GENERATING A DECISION-MAKING ALGORITHM FOR AN ENTITY TO ACHIEVE AN OBJECTIVE

机译:生成用于达成目标的实体的决策算法的方法和系统

摘要

An analytics processing system for generating a decision-making algorithm based on a prescribed set of pre-defined data points describing one or more characteristics of an entity to achieve an objective. The objective is modelled by an underlying base algorithm. The system includes a user interface to receive initial data concerning the objective from a client. It also includes a decision engine comprising a pipeline of modules including a validation module, a retrospect module, a refinement module and a comparison module. These modules perform the following functions in iterative phases:(i) derive a base algorithm to best match a candidate-entity to a known model having regard to the initial data;(ii) input select data related to the candidate-entity from a source of data;(iii) produce an output score being a function of the base algorithm;(iv) derive a predicted probability from the output score;(iv) compare the predicted probability with an actual outcome based on actual data derived from the source data at a subsequent period of time relative to the select data;(v) generate a variant of the base algorithm based upon the results of the comparison;(vi) create a new decision-making algorithm based on the variant; and(vii) periodically perform the aforementioned steps using the new decision-making algorithm as the derivative of the base algorithm after the prescribed period of time.;The select data is prescribed to characterise a plurality of pre-defined data points associated with the base algorithm selected to provide a qualitative measure of performance to achieve the objective; The output score is derived from applying the select data for each data point and running the base algorithm thereon. The predicted probability is a weighted variable of the data points that is used to predict the likelihood of the objective being achieved.
机译:一种分析处理系统,用于基于描述实体的一个或多个特征以实现目标的一组预定的预定义数据点来生成决策算法。该目标由基本的基础算法建模。该系统包括用户界面,用于从客户端接收与目标有关的初始数据。它还包括决策引擎,决策引擎包括一系列模块,其中包括验证模块,回顾模块,提炼模块和比较模块。这些模块在迭代阶段执行以下功能: (i)在考虑初始数据的情况下得出一种基本算法,以使候选实体与已知模型最佳匹配; (ii)从数据源输入与候选实体相关的选择数据; (iii)产生输出分数,该分数是基数的函数算法; (iv)从输出得分中得出预测概率; (iv)将预测概率与基于相对于选择数据的后续时间段中从源数据获得的实际数据的实际结果进行比较; (v)根据比较结果生成基本算法的变体 (vi)基于变体创建新的决策算法;和 (vii)在规定的时间段之后,使用新的决策算法作为基本算法的派生来定期执行上述步骤。 / ListItem> ;指定选择数据以表征与选择的基本算法相关联的多个预定义数据点,以提供性能指标以实现目标;输出分数是通过为每个数据点应用选择数据并在其上运行基本算法得出的。预测概率是数据点的加权变量,用于预测实现目标的可能性。

著录项

  • 公开/公告号US2020090063A1

    专利类型

  • 公开/公告日2020-03-19

    原文格式PDF

  • 申请/专利权人 FACTOR FINANCIAL ANALYTICS PTY LTD;

    申请/专利号US201716470538

  • 发明设计人 PAUL REYNOLDS;MARTIN KEMKA;

    申请日2017-12-18

  • 分类号G06N5/04;G06F17/18;

  • 国家 US

  • 入库时间 2022-08-21 11:23:17

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