基于大数据挖掘的终端感知与换机应用研究

通过对移动大数据的分析和挖掘，能够提升终端感知，并为用户换机推荐提供强有力的数据支持。基于早期终端营销存在的问题与不足，提出了基于大数据挖掘的终端感知与换机应用系统解决方案，具体包括基于聚类算法的隐性换机用户提取方法，基于神经网络的指标分析法，基于决策树的换机预测方法。

Application research on terminal perception and replacement based on big data mining

Through the analysis and mining of mobile big data, we can enhance the terminal perception and provide strong data support for the user's mobile phone replacement. Based on the problems and shortcomings existing in the early terminal marketing, this paper proposes a solution which is based on big data mining, including extraction method of hidden replacement user based on clustering algorithm, index analysis method based on neural network and replacement prediction method based on decision tree.