中南民族大学学报（自然科学版）Issue(2)：100-105,6.
基于大数据的线上线下电商用户数据挖掘研究
Study on Big Data-Based Mining of O2O EC Users′Data
摘要
Abstract
In this paper, not only the characters of O2O EC user data but also their data mining framework, procedure and the main methods are analyzed. And the application issue of O2O EC user data mining is highlighted from the perspective of O2O EC platform enterprises, O2O users, and O2O merchants. By theoretical analysis, the paper gets the following conclusions. Mining framework of O2O user data consists of data sources layer, data collection layer, data organization layer, data analysis layer and data application layer. Data mining process includes data collection, data preparation, data mining and data application. The O2O user data mining can put forward precision marketing, platform website optimization, fraud analysis and precaution, personalized recommendation, the development of value-added services and product innovation based on mining result.关键词
数据挖掘/O2O电商/用户数据/大数据Key words
data mining/O2O EC/user data/big data分类
信息技术与安全科学引用本文复制引用
徐国虎,孙凌,许芳..基于大数据的线上线下电商用户数据挖掘研究[J].中南民族大学学报（自然科学版）,2013,(2):100-105,6.基金项目
教育部人文社科基金资助项目(10YJC630308) （10YJC630308）
中央高校基本科研业务费专项基金资助项目(31541010805) （31541010805）
