Title :
A Scheduling Strategy for OLAM Tasks and Its Application in a Financial BI System
Author :
Gao, Yazhuo ; Ni, Zhiwei ; Zhao, Yuxiao
Author_Institution :
Key Lab. of Process Optimization & Intell. Decision-making, Hefei Univ. of Technol., Hefei, China
Abstract :
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 BI (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 BI system.
Keywords :
competitive intelligence; data mining; financial data processing; query processing; scheduling; OLAM scheduling strategy; OLAP; business intelligence system; data cube updating; data mining; financial BI system; online analytical mining task; online analytical processing; query task; Bismuth; Conference management; Data analysis; Data mining; Engineering management; Financial management; Intelligent agent; Knowledge management; Scheduling; Technology management; BI; OLAM; OLAP; data cube; data mining; scheduling strategy;
Conference_Titel :
Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3705-4
DOI :
10.1109/BIFE.2009.105
