Title :
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
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 SAS® 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;
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
DOI :
10.1109/COINFO.2009.20
