基于数据挖掘的移动大客户管理系统

数据挖掘是依据相应的规则和策略,从海量的实际应用数据中提取有用信息和知识的一种技术。通过对移动通信业中所存在的问题和数据挖掘技术进行分析,针对通信业中突出的增量不增收问题,提出基于数据挖掘的移动大客户管理系统,以期通过加强对大客户的管理,为企业提供决策依据,从而提高移动通讯业客户管理的科学性,增强企业市场竞争力。该系统根据对大客户的特征描述,定义了相关的功能;并针对不同的数据挖掘模型,给出了相应的可验证实例。实验结果表明基于数据挖掘的移动大客户管理系统能够为企业提供有用的分析数据,有利于企业的决策。

The Big Client Management System of Cellular Phones Based on Data Mining

Data mining is a technique that abstracts the helpful information and knowledge from the mass application dataset by relevant rules and policies.This paper analyses the existing problems in telecommunications and data mining technology,and proposes a big client management system of cellular phones based on data mining to aim at solving the current problem of no profits increasing while there is a substantial increase of clients.This system hopes to enhance management of big clients,to give some advice on decision-making for corporations,to make client management more scientific,and to lift the capability of market competition.This system defines some main functions of big clients,and provides some instances aiming at different data mining models.The result shows that this system can provide the helpful data for corporations to make decisions.