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BANKRUPTCY PREDICTION SYSTEM USING QUALITATIVE DATA

机译:使用定性数据的破产预测系统

摘要

PPROBLEM TO BE SOLVED: To provide a bankruptcy prediction system which uses quantitative data. PSOLUTION: Prediction data are provided at least through a step (a) of gathering enterprise information, evaluating individual enterprises, and storing evaluation data in a database in response to input from an operation terminal, a step (b) of selecting data suitable for model construction from the evaluation data through operation from the operation terminal and converting the data into an item fuitable for data mining, a step (c) of taking logistic regression analysis using the converted data and selecting a variable persuasive to 'bankruptcy' and a method for variable processing, a step (d) of generating a plurality of kinds of models whose internal adopted data are correspondingly persuasive, applying prediction results of the respective models to the individual enterprises for which an object period has passed, and measuring the operation precision of the models, and a step (e) of gathering the latest information on the individual enterprises and reviewing bankruptcy predicted values every time when evaluation is reviewed or negative information is gathered. PCOPYRIGHT: (C)2003,JPO
机译:

要解决的问题:提供一个使用定量数据的破产预测系统。解决方案:预测数据至少通过以下步骤提供:收集企业信息,评估单个企业并将评估数据响应于操作终端的输入而存储在数据库中;选择数据的步骤(b)适用于从评估数据到通过操作终端进行操作,将数据转换为适合数据挖掘的项目的模型构建,使用转换后的数据进行逻辑回归分析并选择有说服力的变量转换为“破产”的步骤(c);一种用于变量处理的方法,步骤(d),生成其内部采用的数据相对具有说服力的多种模型,将各个模型的预测结果应用于经过对象期限的各个企业,并测量其运行模型的精确度,以及步骤(e),该步骤收集有关单个企业的最新信息并审查预测的破产每次审查评估或收集负面信息时的价值。

版权:(C)2003,日本特许厅

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