基于大数据分析的消费额度估计模型Consumer credit estimation model based on big data analysis
时元宁
摘要(Abstract)：
基于SARIMA的消费额度估计模型,未结合大数据方法进行消费额度估计,采用的数据缺乏科学性,导致获取的消费额度估计结果不准确,为此设计基于大数据分析的ARIMA消费额度估计模型。通过Hadoop平台获取以往消费额度的大数据初步分析,构建以往消费总额的时间序列,采用一阶差分、季节性差分以及对数转换方法获取平稳性时间序列,使用ARIMA模型对时间序列进行分析构建基于大数据分析的ARIMA消费额度估计模型,采用MAPE衡量模型检验所设计模型的估计能力,确保该模型可用于消费额度的准确估计。实验结果表明,所设计的模型消费额度估计准确度高达99.7%,可用于消费额度的准确估计。
关键词(KeyWords)： Hadoop平台;大数据;时间序列;消费额度;ARIMA模型;对数转换
基金项目(Foundation): 2017年度青海省社科规划年度项目(17046);; 2017年青海大学中青年科研基金项目(2017-QSY-18)~~
作者(Author): 时元宁
DOI: 10.16652/j.issn.1004-373x.2018.24.036
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