Research on Data Mining Algorithms

摘要：

Data mining is used more and more widely. During the past thirty years, cluster analysis has been widely applied to many areas. However, there are still big problems currently faced by data miming. Based on the introduction and anlysis of demand for data mining ,This paper proposted four main algorithms of Data mining(including PAM, CLARANS, BIRCH and DBSCAN). Finally, discussed the problems and shortcomings data mining operation method in practical applications.

关键词： Date Mining Algorithms PAM CLARANS BIRCH DBSCAN

作者: Mingpeng Wang Qiming Sun

作者单位: School of Economics and Management Beijing University of Posts and Telecommunications (BUPT) 100876 Beijing, China

会议类型: 国际会议

会议名称: 2010 International Asia Conference on Optical Instrument and Measurement(2010年IEEE光学仪器与测量国际会议 ACPIM 2010)

会议地点: 深圳

会议语种:英文

页码: 89-92

在线出版日期: 2010-11-20（万方平台首次上网日期，不代表论文的发表时间）