Association and application in XDR and MR data

Tao LIU; Tao WU; Bin WANG

doi:10.11959/j.issn.1000-0801.2019057

您当前的位置：

首页 >

文章列表页 >

Association and application in XDR and MR data

Running the ai column | 更新时间：2024-06-05

- Association and application in XDR and MR data
- Telecommunications Science Vol. 35, Issue 4, Pages: 120-130(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2019057
  CLC： TP319
- Published Online：2019-04，
  
  Published：20 April 2019
- 稿件说明：
移动端阅览
Tao LIU, Tao WU, Bin WANG. Association and application in XDR and MR data[J]. Telecommunications science, 2019, 35(4): 120-130.
DOI：

Tao LIU, Tao WU, Bin WANG. Association and application in XDR and MR data[J]. Telecommunications science, 2019, 35(4): 120-130. DOI： 10.11959/j.issn.1000-0801.2019057.

摘要

结合大数据及机器学习的发展与实践，以安徽省O域XDR与MR数据为基础，详细阐述了数据采集过程及XDR与MR关联的实现技术，并结合实践给出了关联率与准确率影响因素分析，通过机器学习与指纹定位算法结合，利用最小欧氏距离算法不断优化指纹定位提升定位精度，实现了关联后数据的栅格化，同时基于关联数据提出了面向规划、面向网络、面向客户、面向市场的创新应用场景与方向，最后给出了建维与市场两个方向的应用案例，验证了XDR与MR关联的应用前景。

Abstract

Based on the XDR and MR data records of O domain and combining with the development and practice in big data and machine learning technologies

the analysis of impact factors of correlation rate and accuracy was described in detail via practice with the help of technology of association of XDR and MR data records.By means of the integration of machine learning technology and fingerprint localization algorithm

the position accuracy was promoted constantly using the random forest algorithm

and the rasterization of associated data was realized.Simultaneously

the innovative application scenarios and directions applied to planning

network

customer and market were proposed.Finally

to verify the prospect of the association of XDR and MR data records

two examples in network construction

maintain and market were enumerated.

关键词

Keywords

references

魏进武 , 张云勇 . 基于大数据的信令监测系统研究 [J ] . 邮电设计技术 , 2014 ( 7 ): 47 - 52 .

WEI J W , ZHANG Y Y . On big data based signaling monitoring platform [J ] . Designing Techniques of Posts and Telecommunications , 2014 ( 7 ): 47 - 52 .

王宜科 , 梁松柏 , 魏宁 , 等 . 基于MR的移动无线网络规划的可靠性分析 [J ] . 邮电设计技术 , 2014 ( 7 ): 53 - 57 .

WANG Y K , LIANG S B , WEI N , et al . Reliability analysis of mobile wireless network planning based on MR [J ] . Designing Techniques of Posts and Telecommunications , 2014 ( 7 ): 53 - 57 .

杨谦 , 施文政 , 林雨浓 , 等 . 基于MR定位技术的客服支撑综合应用系统的开发及应用 [J ] . 云南大学学报(自然科学版) , 2011 , 33 ( S2 ): 264 - 268 .

YANG Q , SHI W Z , LIN Y N , et al . Customer support integrated application system development and applications based on MR positioning technology [J ] . Journal of Yunnan University(Natural Sciences) , 2011 , 33 ( S2 ): 264 - 268 .

周波 . 基于Apache Flume的MR数据采集实现方案 [J ] . ,电信科学 , 2018 , 34 ( Z1 ): 216 - 221 .

ZHOU B , . An implementation scheme for MR acquisition based on Apache Flume [J ] . Telecommunications Science , 2018 , 34 ( Z1 ): 216 - 221 .

叶树祥 . 基于 XDR 大数据的高铁用户精准识别算法 [J ] . 信息通信 , 2018 , 186 ( 6 ): 231 - 232 .

YE S X . An algorithms of high-speed rail customer accurate recognition based on big data [J ] . Information ＆ Communications , 2018 , 186 ( 6 ): 231 - 232 .

谭晖 , 王浩君 , 席晨 . 一种基于 DPI 数据的家宽投诉精细分析系统 [J ] . 信息通信 , 2018 ( 1 ): 254 - 255 .

TAN H , WANG H J , XI C . An home broadband complaint analysis system based on DPI data [J ] . Information ＆ Communications , 2018 ( 1 ): 254 - 255 .

杨岚兰 , 石磊 . 大数据技术及其在通信领域的应用 [J ] . 信息与电脑 (理论版) , 2015 ( 15 ): 68 - 69 .

YANG L L , SHI L . Big data technology and application in telecom industry [J ] . China Computer ＆ Communication , 2015 ( 15 ): 68 - 69 .

赵云山 , 刘焕焕 . 大数据技术在电力行业的应用研究 [J ] . 电信科学 , 2014 , 30 ( 1 ): 57 - 62 .

ZHAO Y S , LIU H H . Research on application of big data technique in electricity power industry [J ] . Telecommunications Science , 2014 , 30 ( 1 ): 57 - 62 .

堵雯曦 . 大数据技术在通信行业的应用探讨 [J ] . 江苏通信 , 2015 ( 3 ): 52 - 55 ,59.

DU W X . Discussion on the application of big data in telecom industry [J ] . Jiangsu Communication , 2015 ( 3 ): 52 - 55 ,59.

张延彬 . 基于移动通信行业的大数据服务研究 [J ] . 电信工程技术与标准化 , 2016 , 29 ( 2 ): 44 - 47 .

ZHANG Y B . Study on the service of mobile communication industry based on big data [J ] . Telecom Engineering Technics and Standardization , 2016 , 29 ( 2 ): 44 - 47 .

潘洋 . 通信行业基于大数据的精确化服务应用研究 [J ] . 中国新通信 , 2017 , 19 ( 6 ):123.

PAN Y . Research on precision service application based on big data in telecom industry [J ] . China New Telecommunications , 2017 , 19 ( 6 ):123.

王娟 . 基于大数据的通信运营商商业化模型及应用研究 [D ] . 兰州:兰州交通大学 , 2016 .

WANG J . Research on business model and application of telecommunications operators based on big data [D ] . Lanzhou:Lanzhou Jiaotong University , 2016 .

KIM N , JUNG K H , YONG S K , et al . Uniformly subsampled ensemble (USE) for churn management:theory and implementation [J ] . Expert Systems with Applications , 2012 , 39 ( 15 ): 11839 - 11845 .

COUSSEMENT K , POEL D . Churn prediction in subscription services:an application of support vector machines while comparing two parameter-selection techniques [J ] . Expert Systems with Applications , 2008 , 34 ( 1 ): 313 - 327 .

ALMANA A M , AKSOY M S , ALZAHRANI R . A survey on data mining techniques in customer churn analysis for telecom industry [J ] . Journal of Engineering Research and Applications , 2014 , 4 ( 5 ): 165 - 171 .

BREIMAN L . Random forests [J ] . Machine Learning , 2001 , 45 ( 1 ): 5 - 32 .

Views

989

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Security access permission authentication simulation of multi-source network big data based on blockchain

Research on theoretical ultimate value of 5G flow residence ratio based on big data

A big data framework for short-term power load forecasting using heterogenous data

Architecture of a new infrastructure for data service in DT era

Big data security features and operation practices

Related Author

Bin LI

Hui HE

Zhongying ZHAO

Jingwei GUO

Hongjia LIU

Bei LI

Wei ZHAO

Guoping XU

Related Institution

Research Institute of China United Network Communications Co., Ltd.

China United Network Communications Group Co., Ltd.

Zhejiang Branch of China United Network Communications Co., Ltd.

Willfar Information Technology Co., Ltd.

China Electronic Power Equipment and Technology Co., Ltd.

⁰