首页> 外文会议>International Conference on Computer Applications and Systems Modeling >The Application and Analysis of Data Mining in Clustering Data of Petroleum Pipeline
【24h】

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

机译:数据挖掘在石油管道集群数据中的应用与分析

获取原文

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.
机译:采用数据挖掘中K-Means和SofM中性网络的方法,并基于石油管道数据的特点,建立了对数据挖掘的拟合和群集数据效果的评估。结果表明,通过使用多元回归分析,该数据挖掘的效果是群集数据的两个结果之间的最佳选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号