用SOM网络从移动通信数据中识别相似个体

计算机科学 ›› 2011, Vol. 38 ›› Issue (8): 248-252.

用SOM网络从移动通信数据中识别相似个体

陈蔼样

(广东商学院数学与计算科学学院广州510320)

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受广东省自然科学基金(10451032007006140)，广州市科技和信息化局项目(10C12140L31)，广东高校优秀青年创新人才培育项目(LYM10081)，广东商学院校级科研项目((20084410592XM58)资助。

Using SOM to Recognize Similary Individuals from Mobile Phone Data

CHEN Ai-xiang

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 从移动电话通信数据中挖掘用户有用信息，被认为是富有研究价值的一项工作。利用从94个Nokia 6600用户中收集的实际通信记录，根据用户的通信统计情况，结合用户的调查数据，形成能被SOM网络接受的训练数据集。在此基础上，给出了基于SOM (Self-Organizing Map)的相似个体识识别系统SSRS ( Similary Subject Recognition System)，该系统在训练好的SOM网络支持下，能够对群体中的个体进行有效分类，从而为预测个体将来行为莫定基础。

关键词: 现实数据挖掘，移动通信，SOM

Abstract: Data collected from mobile phones have the potential to provide insight into the community's individual classification. Using the reality data collected from 94 Nokia 6600 users, a training dataset fed to SOM neural network was generated, the training dataset consists of user's correspondence statistics and survey data. A Similary Subject Recognition System(SSRS) building on SOM neural network was designed and realized. The system SSRS can carry on the effective classification to community's individual and lay the foundation of forecasting the individual future behavior.

Key words: Reality mining, Mobile phone, SOM

陈蔼样. 用SOM网络从移动通信数据中识别相似个体[J]. 计算机科学, 2011, 38(8): 248-252. https://doi.org/

CHEN Ai-xiang. Using SOM to Recognize Similary Individuals from Mobile Phone Data[J]. Computer Science, 2011, 38(8): 248-252. https://doi.org/

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