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A method for schools and using a classification model with models for association rules

机译:学校的一种方法以及将分类模型与关联规则模型一起使用

摘要

The invention relates to a method for schools and using a classification model pattern in the input data, in particular input data from a manufacturing process, can be seen. The training of the model comprises the steps of retrieving an amount of previously detected input data, which contain a plurality of positions, which leads to a plurality of units, and the addition of a known classification to each unit. In addition, the training of the model comprises the step of determining the rules of the amount of the previously detected input data and of the known classification, in that the classification of each unit to the respective positions of the unit is associated with. The training of the model further comprises the steps of determining an amount of rules, which can be used, of the aggregation of the lift - values of the for the unit identified rules and of predicting a classification on the basis of the aggregated association scores for each unit. The resulting aggregated lift - value together with the respective unit and classification are used as input for a standard classification ifi cation - algorithm, wherein the result is a classification model comprises.
机译:本发明涉及一种用于学校的方法,并且可以看到在输入数据,特别是来自制造过程的输入数据中使用分类模型模式。模型的训练包括以下步骤:检索一定数量的先前检测到的输入数据,该数据包含多个位置,这些位置导致多个单元,以及向每个单元添加已知分类。另外,模型的训练包括确定先前检测到的输入数据量和已知分类的规则的步骤,因为每个单元到单元的各个位置的分类都与之相关。对模型的训练还包括以下步骤:确定可以使用的规则数量,提升量的集合-单位识别规则的s值;以及基于集合的关联得分预测类别的步骤每个单元。所得的合计提升值与相应的单位和分类一起用作标准分类算法的输入,其中结果是包含的分类模型。

著录项

  • 公开/公告号DE112010004003T5

    专利类型

  • 公开/公告日2012-09-20

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号DE20101104003T

  • 发明设计人 TONI BOLLINGER;

    申请日2010-12-07

  • 分类号G06F17/30;

  • 国家 DE

  • 入库时间 2022-08-21 17:05:08

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