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

摘要：

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.

关键词： Data Mining Applications Data Mining Software SAS

作者: Qingyu Zhang Mei Cao

作者单位: Department of Computer & Information Technology Arkansas State University Jonesboro, AR 72467, USA Department of Business and Economics University of Wisconsin-Superior Superior, WI 54880, USA

会议类型: 国际会议

会议名称: Fourth International Conference on Cooperation and Promotion of Information Resources in Science and Technology(第四届科技信息资源共享促进国际会议 COINFO 2009)

会议地点: 北京

会议语种:英文

页码: 180-186

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）