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Application of MapReduce-Based Association Rule Data Mining on Operation of Telecommunication Network
Miao Yu,Hou Chun-Ping *
Department of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
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Funding: none
Opened online:18 December 2014
Accepted by: none
Citation: Miao Yu,Hou Chun-Ping.Application of MapReduce-Based Association Rule Data Mining on Operation of Telecommunication Network[OL]. [18 December 2014] http://en.paper.edu.cn/en_releasepaper/content/4623060
 
 
This paper based on the requirements and status of constructing data-sharing platform for telecom operators, proposed using the Hadoop open source framework for massive signaling data mining analysis to make up for the defects and deficiencies of traditional monitoring system. A Hadoop-based signaling mining platform and a MapReduce-based Apriori Algorithm is designed and implemented to discover the association rules on network service quality and data mutation. The experimental results show that, the method can effectively discover a variety of business factors and scenarios which lead to the mutation, and provide support for the upper application to solve the problem.
Keywords:Data Mining; Association Rule; Big Data; Hadoop; Operation Analysis
 
 
 

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