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DEVICE AND METHOD FOR ALGORITHM ACCURACY ENHANCEMENT BASED ON FEATURE ENGINEERING

机译:基于特征工程的算法精度增强装置及方法

摘要

The present invention relates to a device and a method for algorithm accuracy enhancement based on feature engineering which can provide an optimized machine learning algorithm. According to an embodiment of the present invention, the device for algorithm accuracy enhancement based on feature engineering comprises: a data receiving unit to receive data to be analyzed; a feature variable extraction unit to extract a feature variable from the data to be analyzed based on feature engineering; a calculation unit to calculate result data for an input of the feature variable from a plurality of machine learning algorithms selected in response to an analysis purpose in accordance with the feature variable; an evaluation unit to calculate evaluation indices of the plurality of machine learning algorithms based on the result data; and a visualization unit to output the feature variable and visualize the evaluation indices of the plurality of machine learning algorithms. The feature variable extraction unit can extract the feature variable from structured data or unstructured data included in the data to be analyzed, and can extract the feature variable based on a natural language processing algorithm based on unsupervised learning in the case of unstructured data.;COPYRIGHT KIPO 2020
机译:本发明涉及一种基于特征工程的算法精度增强的装置和方法,可以提供一种优化的机器学习算法。根据本发明的一个实施例,基于特征工程的算法精度增强装置包括:数据接收单元,用于接收待分析数据;特征变量提取单元,用于基于特征工程从待分析数据中提取特征变量;计算单元,用于根据特征变量从响应于分析目的而选择的多种机器学习算法中计算出特征变量的输入的结果数据;评估单元,基于结果数据计算多种机器学习算法的评估指标;可视化单元,用于输出特征变量并可视化多种机器学习算法的评估指标。特征变量提取单元可以从要分析的数据中包括的结构化数据或非结构化数据中提取特征变量,并且在非结构化数据的情况下,可以基于基于无监督学习的自然语言处理算法来提取特征变量。韩国知识产权局2020

著录项

  • 公开/公告号KR102069084B1

    专利类型

  • 公开/公告日2020-02-11

    原文格式PDF

  • 申请/专利权人 WISEITECH CO. LTD.;

    申请/专利号KR20190036066

  • 发明设计人 KIM SANG SU;KWON JI SOO;KIM JI HYEOK;

    申请日2019-03-28

  • 分类号G06N20;

  • 国家 KR

  • 入库时间 2022-08-21 11:05:31

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