摘要
由于大数据的快速发展,传统的以业务经验模式进行的数据库营销面临极大挑战。针对这种情况,提出基于大数据的数据挖掘技术方法。首先了解业务需求,根据业务目标设计模型,接着进行数据整合、数据清洗等,最后建立模型、对模型结果进行评估。实验结果表明,应用大数据挖掘技术能有效提高精准营销的成功率,进行风险防控以及运营优化管理。
Due to the rapid development of big data,the traditional database management with business experience model is facing great challenge. In view of this,we propose a data mining technology based on big data. We first understand the business requirements,design the model according to the business goal,then carry on the data integration and the data cleaning,finally establish the model and evaluate the model results. The experimental results show that the application of big data mining can effectively improve the success rate of precision marketing,risk prevention and control and operational optimization management.
出处
《计算机应用与软件》
2017年第9期43-45,81,共4页
Computer Applications and Software
关键词
大数据
数据挖掘
精准营销
风险防控
运营优化
Big data
Data mining
Precision marketing
Risk prevention and control
Operation optimization
