计算机工程与应用2017，Vol.53Issue(6)：85-90,6.DOI:10.3778/j.issn.1002-8331.1508-0105
一种基于朴素贝叶斯算法的OLAP缓存机制
OLAP cache mechanism based on naive Bayesian
满毅 1章炯民 1徐晓锦1
作者信息
- 1. 华东师范大学 计算机科学与技术学院,上海 200241
- 折叠
摘要
Abstract
In the era of the big data, cache can be seen as one of the most effective ways to enhance data processing tech-nique, and therefore it is widely researched. The majority of cache mechanism saves the query results as the file, thus there is nearly no way to reuse the partial data in the cache under specific situations, and consequently cache resources are wasted. Based on learning the cache techniques both here and abroad, this project designs one data warehouse cache mech-anism by using incremental learning naive Bayesian algorithm. This cache mechanism can decide whether to cache the current query results according to users'recent operations, and ultimately can increase the hit rate of cache. Finally, the results of the experiment illustrate the effectiveness and efficiency of this cache mechanism by analyzing both average query time and the hit rate of cache.关键词
联机分析处理(OLAP)/缓存/联机分析处理(OLAP)缓存/朴素贝叶斯算法/缓存机制/数据仓库Key words
On-Line Analytical Processing(OLAP)/cache/On-Line Analytical Processing(OLAP)cache/naive Bayesian algorithm/caching mechanism/data warehouse分类
信息技术与安全科学引用本文复制引用
满毅,章炯民,徐晓锦..一种基于朴素贝叶斯算法的OLAP缓存机制[J].计算机工程与应用,2017,53(6):85-90,6.
