The Application and Analysis of Data Mining in Clustering Data of Petroleum Pipeline

摘要：

　　Adopting the methods of the K-means and the SOFM neutral network in the data mining and basing on the characteristics of data of petroleum pipeline,a system is built that fits for the data mining and the evaluation on the effects of the clustering data.It is shown that the effects of this data mining are the best by comparison between the two results of the clustering data by using the multiple regression analysis.

关键词： Data mining K-means SOFM neutral network Multiple regression analysis

作者: Donghua Yu Shuangshuang Sun Yah Shen Wenlu Zhou

作者单位: College of Science, Applied Mathematics Harbin Engineering University Harbin 150001, China Foreign Languages Department, English Harbin Engineering University Harbin 150001, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1532-1535

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）