Research on Improved Model of Electronic Commerce Data Mining Based on Big Data Technology

被引：0

作者：

Xu, Hongsheng ^{[1
,2
]}

Fan, Ganglong ^{[1
,2
]}

Li, Ke ^{[1
,2
]}

机构：

[1] Luoyang Normal Univ, Luoyang 471934, Peoples R China

[2] Henan Key Lab Big Data Proc & Analyt Elect Commer, Luoyang 471934, Peoples R China

来源：

PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON SOCIAL NETWORK, COMMUNICATION AND EDUCATION (SNCE 2017) | 2017年 / 82卷

关键词：

Big data; Data mining; Hadoop; MapReduce; Electronic commerce;

D O I：

暂无

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

Big data collection is the use of multiple databases to receive data from the client, and users can use these databases for simple queries and processing. Big data is pointing to massive, comprehensive, highly correlated complex data forms. At present, most Internet companies use Hadoop's HDFS distributed file system to store data and analyze them using MapReduce. Statistics and analysis mainly use distributed database or distributed computing cluster to analyze and classify the mass data stored in it. The paper presents research on improved model of electronic commerce data mining based on big data technology.

引用

页码：48 / 52

页数：5

共 10 条

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