DocumentCode :
2443179
Title :
Application Research of an Intelligent Decision Support System Based on Data Warehousing Technology
Author :
Wang, Fushan
Author_Institution :
Dept. of Comput. Sci. & Technol., Dezhou Univ., Dezhou, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
1773
Lastpage :
1776
Abstract :
The integration of a Data Warehouse(DW) and a Decision Support System(DSS) can provide teaching managers with sufficient information for decision making without interrupting daily work of an On-Line Transaction Processing(OLTP) system. In this paper, project background and the research necessity are first introduced. Then the concepts of the DW, On-Line Analysis Processing(OLAP), Data Mining(DM), On-line analytical mining (OLAM) and DSS are reviewed. The method of creating a DW is then shown, changing the data in the DW into a multidimensional data cube and integrating the DW with a DSS. An application example is given to illustrate the use of the teaching Management Decision Support System developed by SQL SERVER solution. In the last part of the paper, a summary of an intelligent DSS Based on DW Technology and is represented, and the foregrounds prospects of further improvement of the system are conceived.
Keywords :
SQL; data mining; data warehouses; decision making; decision support systems; management education; teaching; transaction processing; DSS; DW; OLAM; OLAP; OLTP; SQL server; data mining; data warehouse; decision making; decision support system; intelligent system; online analysis processing; online analytical mining; online transaction processing; teaching management; Data mining; Data models; Data warehouses; Decision making; Decision support systems; Education; SQL SERVER; data Mining(DM); data warehouse(DW); decision support system(DSS); on-Line Analysis Processing(OLAP); on-line analytical mining (OLAM); teaching management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
Type :
conf
DOI :
10.1109/ICEE.2010.448
Filename :
5593079
Link To Document :
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