Application of Data Mining Technology in the Recall of Defective Automobile Products in China--A Typical Case of the Construction of Digital China

摘要：

　　According to multisource quality safety data of defective automobile products,key quality safety factors of defective automobile products are extracted,a defect information indicator system for automobile products is systematically constructed and a correlated graph is established between quality safety factors.Based on the optimization and correlation of the quality safety factor indicator system,big data technology is used to design a data structure for multisource quality safety information cluster,develop a data platform for the defect information analysis of automobile products and achieve information clustering and correlation analysis based on multisource quality safety data,providing technical support for the recall management of defective automobile products.

关键词： automobile recall data mining information cluster

作者: Song Li Sun Ning Yao Yezhou Tian Jingjing Zhang Wenxue Chi Liang

作者单位: China National Institute of Standardization,Beijing 100191 Beijing Baifendian Information Technology Co.,Ltd.,Beijing,100101

会议类型: 国际会议

会议名称: 2018 3rd International Conference on Computer Science and Information Engineering (ICCSIE 2018) 2018第三届计算机科学与信息工程国际会议(ICCSIE 2018)

会议地点: 西安

会议语种:英文

页码: 18-24

在线出版日期: 2018-09-21（万方平台首次上网日期，不代表论文的发表时间）