Research on terminal switch interval based on DTL

With the rapid development of mobile internet, the population dividend of operators is gradually saturated, and the switch node of user mobile terminal has become the focus of operators’ attention. The switching frequency of users was predicted by decision tree algorithm based on the consumption inf...

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Main Authors: Yufei CUI, Jinwu WEI, Siyu PAN, Rongfang ZHANG, Xiao WANG, Zixiang JIA
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2019-07-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019098/
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author Yufei CUI
Jinwu WEI
Siyu PAN
Rongfang ZHANG
Xiao WANG
Zixiang JIA
author_facet Yufei CUI
Jinwu WEI
Siyu PAN
Rongfang ZHANG
Xiao WANG
Zixiang JIA
author_sort Yufei CUI
collection DOAJ
description With the rapid development of mobile internet, the population dividend of operators is gradually saturated, and the switch node of user mobile terminal has become the focus of operators’ attention. The switching frequency of users was predicted by decision tree algorithm based on the consumption information of user history and the replacement information of mobile terminals, which provided data support for the accurate marketing of mobile terminals and the stock management of users.
format Article
id doaj-art-2c54a106eda74f90ab6562b435e7b02c
institution Kabale University
issn 1000-0801
language zho
publishDate 2019-07-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-2c54a106eda74f90ab6562b435e7b02c2025-01-15T03:02:41ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-07-013516517259589171Research on terminal switch interval based on DTLYufei CUIJinwu WEISiyu PANRongfang ZHANGXiao WANGZixiang JIAWith the rapid development of mobile internet, the population dividend of operators is gradually saturated, and the switch node of user mobile terminal has become the focus of operators’ attention. The switching frequency of users was predicted by decision tree algorithm based on the consumption information of user history and the replacement information of mobile terminals, which provided data support for the accurate marketing of mobile terminals and the stock management of users.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019098/mobile terminaldecision treeprecise marketing
spellingShingle Yufei CUI
Jinwu WEI
Siyu PAN
Rongfang ZHANG
Xiao WANG
Zixiang JIA
Research on terminal switch interval based on DTL
Dianxin kexue
mobile terminal
decision tree
precise marketing
title Research on terminal switch interval based on DTL
title_full Research on terminal switch interval based on DTL
title_fullStr Research on terminal switch interval based on DTL
title_full_unstemmed Research on terminal switch interval based on DTL
title_short Research on terminal switch interval based on DTL
title_sort research on terminal switch interval based on dtl
topic mobile terminal
decision tree
precise marketing
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019098/
work_keys_str_mv AT yufeicui researchonterminalswitchintervalbasedondtl
AT jinwuwei researchonterminalswitchintervalbasedondtl
AT siyupan researchonterminalswitchintervalbasedondtl
AT rongfangzhang researchonterminalswitchintervalbasedondtl
AT xiaowang researchonterminalswitchintervalbasedondtl
AT zixiangjia researchonterminalswitchintervalbasedondtl