区间约束下移动终端用户偏好的数据挖掘模型  

Data Mining Model of Mobile Terminal User Preferences under Interval Constraints

作　　者：陈清 张程[1] CHEN Qing;ZHANG Cheng(Institute of Technology,East China Jiaotong University,Nanchang Jiangxi 330100,Chin)

机构地区：[1]华东交通大学理工学院,江西南昌300100

出　　处：《计算机仿真》2020年第11期320-323,共4页Computer Simulation

基　　金：江西省教育厅科学技术研究项目(GJJ191585)。

摘　　要：针对目前移动终端用户的个性化需求较多,导致移动终端用户偏好数据容易丢失、数据挖掘精度及效率较低的问题,提出了基于区间约束的移动终端用户偏好数据挖掘模型。利用偏好度概念分析用户偏好敏感特征,采用偏好度代价矩阵填补类偏好形成的偏斜,构建节点类标识分配准则,运用自适应调整偏好度生成最优偏好敏感决策树,准确判断用户偏好信息,根据区间约束特征,构建区间集,依据用户之间的交互信息建立用户的偏好矢量,利用用户偏好点乘挖掘计算用户偏好差异,完成移动终端用户偏好数据挖掘模型构建。仿真结果表明,所提方法的数据挖掘精度较高,收敛性能较好,能够有效缩短数据挖掘时间,提高数据挖掘效率,有效防止数据发生丢失,数据挖掘的安全性能较高。At present,user’s personalized demands of mobile terminal lead to the loss of preference data and low accuracy of data mining.Therefore,this article designed a model of mining user’s preference data of mobile terminal based on interval constraints.Firstly,the concept of preference degree was introduced to analyze the sensitive characteristics of user preference.Secondly,the preference cost matrix was used to fill the deflection formed by the class preference.Thirdly,the class identifier allocation criterion of node was formulated.The adaptive adjustment preference degree was used to construct the optimal preference sensitive decision tree,and thus to accurately judge the user preference.According to the feature of interval constraint,the interval sets were constructed.According to the interaction information between users,the preference vectors were established.Finally,the dot product of user preferences was used to calculate the difference between users’preferences.Thus,the construction of the mobile terminal user preference data mining model was completed.Simulation result show that the proposed method has higher data mining accuracy and better convergence performance,so it is able to effectively shorten the data mining time,improve the data mining efficiency and prevent data loss.This method has higher security performance.

关 键 词：区间约束 用户偏好模型 数据挖掘 决策树算法 

分 类 号：TP359[自动化与计算机技术—计算机系统结构]