Research on the analysis method of location and prediction of complaint user subdistrict based on artificial intelligence algorithm

刘丽娟

doi:10.13992/j.cnki.tetas.2019.05.004

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Research on the analysis method of location and prediction of complaint user subdistrict based on artificial intelligence algorithm

更新时间：2026-04-20

- Research on the analysis method of location and prediction of complaint user subdistrict based on artificial intelligence algorithm
- Vol. 32, Issue 5, Pages: 17-22(2019)
- 作者机构：
  
  中国移动通信集团广东有限公司佛山分公司
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2019.05.004
  CLC： TN929.5;TP18
- Published：2019
- 稿件说明：
移动端阅览
[1]刘丽娟.基于人工智能算法的投诉用户质差小区定位及预测的方法研究[J].电信工程技术与标准化,2019,32(05):17-22.

刘丽娟. Research on the analysis method of location and prediction of complaint user subdistrict based on artificial intelligence algorithm[J]. 2019, 32(5): 17-22.
[1]刘丽娟.基于人工智能算法的投诉用户质差小区定位及预测的方法研究[J].电信工程技术与标准化,2019,32(05):17-22. DOI： 10.13992/j.cnki.tetas.2019.05.004.

刘丽娟. Research on the analysis method of location and prediction of complaint user subdistrict based on artificial intelligence algorithm[J]. 2019, 32(5): 17-22. DOI： 10.13992/j.cnki.tetas.2019.05.004.

摘要

为了解决自动定位质差小区

本文创新性提出以数据驱动来实现业务规则自动化

充分考虑用户投诉的时间和问题、网络交互信令、无线性能指标和告警等海量数据

运用人工智能技术中的逻辑回归及决策树算法得出2G语音、VoLTE语音及数据业务投诉质差小区定界模型、质差小区预测模型及问题网元

更快速、更智能、更准确地输出语音及数据业务投诉原因、质差小区及质差原因

并对潜在质差小区进行预测

对无线规划、基站建设、故障处理、网络改造等方面的工作也具有积极指导意义。

Abstract

In order to solve the automatic positioning complaints and inferior community

innovative offered to data driven automation to implement business rules

give full consideration to the user to complain about the time and signaling

network interaction

wireless performance indicators and alarms

such as huge amounts of data

using artificial intelligence technology in the logistic regression and gradient descent algorithm for the 2 G voice、VoLTE and data services complaints and inferior

poor quality

and the village community and bound model and the problem of network

more quickly

more intelligent

more accurate output reasons of voice and data service complaints reasons

poor quality

and the community and bad reasons

and to forecast the potential bad district

it also has a positive guiding signifi cance for wireless planning

base station construction

fault treatment

network transformation and other aspects of work.

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Related Institution

中国移动通信集团陕西有限公司

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