Intelligent data mining for economie prediction and analysis

Author

Yongyi, Zhao ; Qiang, Pan

Author_Institution

Software Coll., Shenyang Normal Univ., Shenyang, China

fYear

2010

fDate

16-18 April 2010

Firstpage

510

Lastpage

513

Abstract

This paper describes importance that the application of economic data in the data mining algorithm and its application, which combines with the current economic data of national macro-economic indicators, presents the data warehouse model structure and its implementation characteristics, and uses SQL Server 2005 data warehouse and data mining solutions on economic data for the application of data mining solution, system architecture, algorithms implementation, and Anally discusses the application of data mining algorithms development trends and key technologies in the economic field.

Keywords

SQL; data mining; data warehouses; SQL Server 2005; data warehouse model structure; economic analysis; economic data; economic prediction; intelligent data mining; macroeconomic indicators; Algorithm design and analysis; Data analysis; Data mining; Econometrics; Economic forecasting; Economic indicators; Educational institutions; Linear regression; Predictive models; Software algorithms; OLAP; SQL Server; data mining; dataware house; economic prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5477741

Filename

5477741