一种电信行业海量数据分组统计方法  

A GROUPING STATISTICS METHOD FOR MASSIVE DATA IN TELECOM INDUSTRY

作　　者：王锐[1] 陈丽[2] 马方明[1] 

机构地区：[1]中国移动通信集团广东有限公司,广东广州510623 [2]广东交通职业技术学院计算机工程学院,广东广州510650

出　　处：《计算机应用与软件》2012年第12期237-239,共3页Computer Applications and Software

摘　　要：结合电信行业海量数据的特点,提出一种分组统计方法,充分利用有限的、较低的系统资源成本,满足海量数据统计分析应用指标计算的精确性和及时性,特别是通过传统全量或增量方法无法快速出数的指标。采用合适的分组,该方法也可以应用于互联网、金融、电子商务等其他行业。This paper provides a grouping statistics method in conjunction with the characteristic of massive data in telecom industry. Ex- ploiting the limited and rather low system resource cost, the method satisfies the calculations of the statistical analyses application indicators of massive data accurately and timely, especially those indicators which can not he quickly worked out by traditional full or incremental statistics method. By properly grouping the factor, the method can also be applied to the internet, finance, electronic commerce industries, etc.

关 键 词：海量数据 分组统计 增量统计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]