摘要
随着信息产业的发展,数据收集、应用越来越引起人们重视。运营商在网络设备运行过程中积累了大量的网管数据,挖掘这些数据的潜在价值,可以更好地支持运营商的运维工作和网络规划与建设。在对中国联通核心网网管数据深入分析的基础上,提出了使用开源软件工具对网管大数据进行定期自动采集入库,并利用自动化工具结合人工方式对入库后的数据进行清洗,过滤大量"脏数据",然后使用OLAP工具对清洗后的数据进行多维度分析展示,为运营商网络规划建设提供决策支持。
With the development of information industry, data collection and application is attracting more and more attention. In the net- work equipments long-term running, the operator has accumulated a large amount of network management data. The poten- tial value of mining these data can well support the operator＇ s daily work and future construction. Based on the deep analysis of China Unicorn core network management data, it presents that open source software tools are used to collect network management data regularly, automatic tools and manual method are used to clean the data to filter the dirty data. OLAP tool is used to analyze the clean data, to provide decision support for the network planning and construction.
出处
《邮电设计技术》
2015年第12期18-23,共6页
Designing Techniques of Posts and Telecommunications
关键词
数据挖掘
数据清洗
维度分析
Data mining
Data cleaning
Dimension analysis
