Data Mining and Visualization of Forest Cover Type Data Using SAS Enterprise Miner

Author

Zhang, Qingyu ; Cao, Mei

Author_Institution

Dept. of Comput. & Inf. Technol., Arkansas State Univ., Jonesboro, AR, USA

fYear

2009

fDate

21-23 Nov. 2009

Firstpage

180

Lastpage

186

Abstract

This paper illustrates the use of data mining and data visualization techniques to mine multidimensional database for the selected data of forest cover type consisting of 63,377 records each with 54 attributes. Using SASÂ® enterprise miner, The paper performs analysis of such data mining functionalities as decision tree, regression analysis, neural network, clustering analysis, and association analysis. The results are useful for intelligent and effective decision making. Some screen shots and analysis are presented.

Keywords

data mining; data visualisation; database management systems; SAS enterprise miner; association analysis; clustering analysis; data mining; data visualization; decision making; decision tree; forest cover type data; multidimensional database; neural network; regression analysis; Data analysis; Data mining; Data visualization; Decision trees; Multidimensional systems; Neural networks; Performance analysis; Regression analysis; Synthetic aperture sonar; Visual databases; Data Mining Applications; Data Mining Software; SAS;

fLanguage

English

Publisher

ieee

Conference_Titel

Cooperation and Promotion of Information Resources in Science and Technology, 2009. COINFO '09. Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3898-3

Type

conf

DOI

10.1109/COINFO.2009.20

Filename

5361854