摘要
在大数据时代,能否有效利用数据已经成为决定运营商竞争力的重要因素。当前运营商对网络数据分析的主要方法是基于数据仓库进行联机分析处理(OLAP)。OLAP的性能严重依赖数据模型的预先定义,其无法对业务和状态实时变化的现有网络情况进行及时有效的跟踪,针对这一问题提出了一种基于主成分分析的网络数据挖掘方法,并通过对实际网络数据的分析、比较,验证了该方法的有效性。
In the big data era, efficient using of data has become an important factor in determining the competitiveness of operators. Currently the main method for network operators in data analysis is OLAP based on data warehouse. As the performance of OLAP analysis relies heavily on pre-defined data model, it's difficult for the system track the real-time changes of wireless network, which cause the current network management system always doesn't meet the actual needs of operators. A method to solve the above mentioned problem based on principal component analysis was presented, and the implementation example and the comparison of the method were given.
出处
《电信科学》
北大核心
2013年第12期125-128,133,共5页
Telecommunications Science
关键词
综合网管
大数据
主成分分析
数据挖掘
integrated network management, big data, principal component analysis, data mining