数据分析技术 meaning in Chinese
dataanalysis techniques
Examples
- The paper starts with the frame of data warehouse system , discusses the every part of the data warehouse , which includes the narrow data warehouse and the decision support application - olap and dm . olap is a kind of data analysis technology , including md - olap and rolap . dm deepens the data analysis , it automatically mines the interesting model hiding in mass data
联机分析处理是一种数据分析技术，它可分为基于关系数据库olap ( rolap )和基于多维数据库的( md - olap ) 。数据挖掘是数据分析的深化，它可自动的挖掘出隐藏在大量数据中有趣的模式。 - Further more , the thesis is based on the customer ' s accounts of the mianyang filiale , china unicom which is idle long time but it includes many information that is worth , just as the time , the frequency to talk of the customer . from this thesis we further understand the action of the customer and we do our plan surely , provide service abundant and then it benefits our company better
更重要的是,本文通过对现有资源的整合、数据分析技术的引入、数据仓库及crm的研究,有效利用了中国联通绵阳分公司在电信业务运营的过程中积累的大量的用户话单。长期以来,这些反映了用户通话的时间、时长和频率等重要信息的话单处于闲置状态。 - In this thesis , data analysis techniques are merged into the research of customer churn . solutions of existing problems involved are proposed in detail , including customer profiling , attribute reducing , customer churn model building , analysis of churn causation , churn prediction and controlling strategies . among those we focus on the customer churn model building problem
本文将多种数据分析技术应用于客户流失研究，针对目前相关研究中存在的问题，给出了客户流失研究中涉及的主要问题的解决方案，包括客户描述、属性约简、流失模型发现、流失原因分析以及流失预测与控制策略等，重点解决其中流失模型的建立问题。