计算机与现代化 ›› 2012, Vol. 1 ›› Issue (200): 61-03.doi: 10.3969/j.issn.1006-2475.2012.04.016

• 数据库与数据挖掘 • 上一篇    下一篇

SAS数据挖掘在冷轧酸洗卷质量缺陷分析中的应用

郭龙波1,2,韦 俊2   

  1. 1.安徽工业大学计算机学院,安徽 马鞍山 243002; 2.上海宝信软件股份有限公司南京分公司,江苏 南京 210039
  • 收稿日期:2011-12-01 修回日期:1900-01-01 出版日期:2012-04-16 发布日期:2012-04-16

Application of SAS/EM Tool in Quality Defects Analysis of Cold Rolling Pickling Coil

GUO Long-bo 1,2, WEI Jun2   

  1. 1. School of Computer, Anhui University of Technology, Maanshan, 243002, China;2. Shanghai Baosight Software Co. Ltd. Nanjing Branch, Nanjing 210039, China
  • Received:2011-12-01 Revised:1900-01-01 Online:2012-04-16 Published:2012-04-16

摘要: 数据挖掘作为一种发现大量数据中潜在信息的数据分析技术,受到各界的密切关注。SAS数据挖掘技术是众多数据挖掘方法中的佼佼者,它在大型企业中得到很好的应用。本文介绍数据挖掘的背景知识,并利用SAS/EM工具,对该技术在冷轧酸洗卷质量缺陷原因分析作了初步尝试。

关键词: 数据挖掘, 冷轧酸洗卷, 质量缺陷, SAS/EM

Abstract: Data mining, a data analysis technique to seek potential information in a mass of data, has gained intensive attention from various circles of society. The SAS data mining technology is better among the methods for data mining and it is well adopted in large enterprises. The paper introduces some basic knowledge of data mining. Besides, the SAS/EM tool is used to make a preliminary attempt to analyze the cause of quality defect of cold rolling pickling coil.

Key words: data mining, cold rolling pickling coil, quality defect, SAS/EM