摘要
传统数据库、联机事务处理(On-Line Transaction Processing,OLTP)方式已经无法满足用户对数据查询分析的需求,因此提出一种将ROLAP(Relational Online Analytical Processing)技术与改进的数据挖掘算法相融合的新型数据处理方式。即使用ROLAP引擎将星型关系数据库结合成多维数据结构,利用改进后的K-means算法进一步分类和聚集数据库中未缓存的数据,并结合线性回归算法统计数据变化率,实现监测系统的预警功能。仿真结果表明,新型数据处理系统不仅能够挖掘更多类的数据信息,而且其预警时间相比传统预警方式有了显著提高。
The traditional database and online transaction processing（OLTP）have been unable to meet users＇ demands for data query and analysis.This paper put forward a new kind of data processing mode combining ROLAP technology and an improved algorithm of data mining approach.It uses the ROLAP engine to combine star database into a multidimensional data structure,and uses the improved K-means algorithm to classify and aggregate uncache data in the database.Combining linear regression algorithm,the data rate of change is counted to achieve earlier warning function of monitoring system.Simulation results show that the new dataprocessing system can mine more data and information,and the early warning time has been significantly improved compared with the traditional alarm mode.
作者
连乐
付杰
LIAN Le, FU Jie(School of Electronic and Information Engineering, Lanzhou J iaotong University,Lanzhou 730070,（;hina)
出处
《计算机科学》
CSCD
北大核心
2018年第B06期580-582,共3页
Computer Science
基金
国家自然科学基金(61366006)
甘肃省自然科学基金(1610RJZA046)
甘肃省建设科技攻关项目(JK2016-7)
甘肃省高等学校科研项目(216132)资助
