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

doi:10.3969/j.issn.1006-2475.2012.04.016

Computer and Modernization ›› 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 • Previous Articles Next Articles

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

GUO Long-bo ^1，2， WEI Jun²

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

Abstract

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

GUO Long-bo;WEI Jun. Application of SAS/EM Tool in Quality Defects Analysis of Cold Rolling Pickling Coil[J]. Computer and Modernization, 2012, 1(200): 61-03.

[1]	YUAN Hongwei1, CHANG Lijun1, HAO Jianhuan2, FAN Na2, WANG Chao2, LUO Chuang2, ZHANG Zehui2. Trajectory Interest Points Mining Based on Label Propagation and Privacy Protection [J]. Computer and Modernization, 2024, 0(05): 46-54.
[2]	XIE Shi-bin, LIU Meng-chi, TANG Shi-qi, ZHOU Rui-ping, . A Temporal Convolutional Knowledge Tracking Model Based on#br# Multiple Feature Extraction#br# [J]. Computer and Modernization, 2023, 0(07): 25-29.
[3]	LIU Pei. Medical Insurance Fee Control System Based on Data Mining [J]. Computer and Modernization, 2023, 0(06): 89-94.
[4]	WANG Shao-hua, OUYANG Hui-dan, SUN Dan, WANG Kang, WU Hong-ping, ZHONG Xun, CHU Xing-ping, YANG Song-tao. Association Rule Mining of Undergraduate Physical Test Items Based on Apriori Algorithm [J]. Computer and Modernization, 2023, 0(03): 66-70.
[5]	SONG Xiao-li, ZHANG Yong-bo, ZHANG Pei-ying. Anomaly Detection of Student Consumption Data Based on Semi-supervised Learning [J]. Computer and Modernization, 2022, 0(12): 13-17.
[6]	DUAN Gui-qin, ZOU Chen-song. Occupational Competence Evaluation Model Based on Affinity Propagation Clustering [J]. Computer and Modernization, 2022, 0(05): 21-27.
[7]	YANG Lin, BAI Zhao, KOU Yong-gang. Analysis of Airline Customer Churn by Random Forest Algorithm Based on RFM Model [J]. Computer and Modernization, 2021, 0(01): 100-104.
[8]	LI Ke-xin, LI Jing, SHAO Jia-wei, XIAO Yi. High-dimensional Numerical Anomaly Data Detection Based on Multi-level Sequence Integration [J]. Computer and Modernization, 2020, 0(06): 73-.
[9]	JIANG Yi, OU Yu-qiang, LIANG Guang, GAO Yang, YAN Yong-gao, LIN Jie, ZHAO Xiao-ning. Risk Situation Assessment Method of Field Operation Based on Data Mining [J]. Computer and Modernization, 2020, 0(04): 78-.
[10]	QI Yu-dong1, DING Hai-qiang1, ZHAO Jin-chao2, SUN Ming-wei1. biRNN-based Method for Processing Unbalanced Text Data Sets of Naval Ordnance [J]. Computer and Modernization, 2019, 0(12): 21-.
[11]	GUO Yi1, ZHANG Wei-shan1, XU Liang2, ZHAI Jia3. A Micro-service-based Oil Big Data Mining Platform [J]. Computer and Modernization, 2019, 0(05): 25-.
[12]	LI Na, MAO Guo-jun, DENG Kang-li. K-means-based KDJ Integrated Analyzing Methods for Stock Transactions [J]. Computer and Modernization, 2018, 0(10): 12-.
[13]	TIAN Li. Model and Approach for Extracting Key Elements #br# From Topic Information in Intelligence Analysis [J]. Computer and Modernization, 2018, 0(10): 22-.
[14]	ZI Yun-fei, LI Ye-li, SUN Hua-yan, ZHANG Li-jing. An Improved FP-Growth Algorithm in Planning of Leisure Travel [J]. Computer and Modernization, 2018, 0(02): 17-.
[15]	LIU Qi, ZHANG Peng-cheng, WANG Ji-min. Time Series Similarity Search Based on Relevance Feedback [J]. Computer and Modernization, 2018, 0(02): 22-26.

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

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments