The design and application of mining model of enterprise fundamental information based on the K-MEANS

Author

Liu, Hong ; Yang, Xing-Kai ; Li, Ling-Ling ; Lv, Juan

Author_Institution

Sch. of Manage., Liaoning Normal Univ., Dalian, China

Volume

15

fYear

2010

fDate

22-24 Oct. 2010

Abstract

To improve the utilization of government information resources, further promote e-government construction in China. The data of the enterprise fundamental information base were analyzed and treated with the clustering analysis in this paper. This analysis results provide decision support for the government leaders. Based on the enterprise fundamental data in Dalian, a k-means fast clustering model was constructed in this paper. It makes a number of strategies to promote the economic development of Dalian.

Keywords

business data processing; data mining; government; government data processing; management information systems; statistical analysis; China; Dalian; clustering analysis; data Mining; decision support; e-government; economic development; enterprise fundamental information base; government information resource; k-means fast clustering model; Companies; Government; Irrigation; Clustering Analysis; Enterprise Fundamental Information; Government Information; K-MEANS Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5622536

Filename

5622536