Research and Practice of Home Wide Data Operation Analysis System Based on Time Series Clustering Algorithm
As the scale of home broadband users continues to expand,and home broadband serv-ices become more and more video intensive,users have increasingly high requirements for broadband network quality.Improving customer satisfaction and quickly locating broadband fault points have become urgent issues to be addressed.This article starts with the current pain points of fault location in Inner Mongolia Mobiles home broadband network,proposes a home broadband big data operation analysis system based on temporal clustering algorithm,and then proposes a network deployment architecture,engineering practices,and construction results a-chieved using this technology for the home broadband big data analysis system based on the con-struction situation in Inner Mongolia.It also proposes prospects for future system construction considerations.
Home broadbandTemporal clusteringcollectionbig datauser satisfactionquality analysis
万方数据
维普
