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

fYear

2009

fDate

24-26 July 2009

Firstpage

435

Lastpage

440

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3705-4

Type

conf

DOI

10.1109/BIFE.2009.105

Filename

5208851