A Scheduling Strategy for OLAM Tasks and Its Application in a Financial BI System
This paper proposes a scheduling strategy which divides OLAM (Online Analytical Mining) tasks into query tasks, mining tasks and updating tasks in order to improve the efficiency of Bl (Business Intelligence) systems. OLAM mechanism is considered as the seamless integration of OLAP (Online Analytical Processing) and data mining on data cubes, according to which the scheduling strategy focuses on. This paper emphasizes the interaction of OLAP, data mining and data cube updating, illustrates the details of the OLAM scheduling strategy and demonstrates its efficiency by performing it in a financial Bl system.
OLAM data mining OLAP data cube BI scheduling strategy
Yazhuo Gao Zhiwei Ni Yuxiao Zhao
School of Management, Hefei Univ.of Technology Key Lab.of Process Optimization and Intelligent Decision-making, Ministry of Education Hefei, 230009, China
国际会议
北京
英文
435-440
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）