计算机与现代化Issue(8)：149-152,4.DOI:10.3969/j.issn.1006-2475.2011.08.041
一种基于多时间粒度的实时客流查询优化算法
An Optimization Algorithm of Real-time Customer-counting Query Based on Multiple Time Granularities
苏礼楷1
作者信息
- 1. 广东商学院教育技术中心,广东广州510320
- 折叠
摘要
Abstract
The real-time flow of customer data changed with time is classified as the time series. According to the receiving frequency , the relational model is applied for the storage of the customer data. In order to weaken the influence of the query efficiency of the real-time customer-counting by the receiving frequency, the views of the customer data with multiple time granularities are established and the query efficiency is improved.关键词
多时间粒度/时间序列/查询优化Key words
multiple time granularities/ time series/ query optimization分类
信息技术与安全科学引用本文复制引用
苏礼楷..一种基于多时间粒度的实时客流查询优化算法[J].计算机与现代化,2011,(8):149-152,4.
