摘要
为适应市场需求、为客户提供灵活和个性化的服务,文章用回归分析对C网用户的日消费数据进行分析、挖掘,从中发现客户的消费规律,并将挖掘结果以在线分析的方式展现,为用户授信提供判断依据,也为决策者提供了移动业务收入完成和预期进度,提供了可能的市场决策和资源合理化分配决策依据。
In order to cater for market requirement and provide flexible personality service to users, the daily consumption data of C net users is mined by regression analysis to discover the regularities in users＇ consumption, and the mining results are displayed for online analysis. These analytical statistics provides a progress schedule of completed and expected revenue for the decision makers and helps them to adjust users＇ credits, make feasible marketing decision and reallocate resource.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第3期375-378,共4页
Journal of Hefei University of Technology：Natural Science
关键词
在线分析
数据挖掘
回归分析
online analysis
data mining
regression analysis
