Process Data Analytics in the Era of Big Data

被引：311

作者：

Qin, S. Joe ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen 518172, Peoples R China

来源：

AICHE JOURNAL | 2014年 / 60卷 / 09期

关键词：

big data; machine learning; optimization; process data analytics; process control; process improvement; REPRESENTATION; DIAGNOSIS; MODELS; REGRESSION; PROJECTION;

D O I：

10.1002/aic.14523

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

[No abstract available]

引用

页码：3092 / 3100

页数：9

共 51 条

[1] [Anonymous], EM BIG RET BIG DAT T
[2] [Anonymous], 2013, FRONT MASS DAT AN
[3] [Anonymous], 2002, DATA MIN KNOWL DISC, DOI DOI 10.1145/775047.775062
[4] [Anonymous], 2011, BIG DATA NEXT FRONTI
[5] [Anonymous], 2011, P 2011 ACM SIGMOD IN
[6] [Anonymous], 1995, Introduction to computational biology: maps, sequences and genomes
[7] [Anonymous], 2013, Big data: A revolution that will transform how we live, work, and think
[8] REPRESENTATION OF PROCESS TRENDS .4. INDUCTION OF REAL-TIME PATTERNS FROM OPERATING DATA FOR DIAGNOSIS AND SUPERVISORY CONTROL
BAKSHI, BR
STEPHANOPOULOS, G
[J]. COMPUTERS & CHEMICAL ENGINEERING, 1994, 18 (04) : 303 - 332
[9] Bengio Y., 2006, Advances in Neural Information Processing Systems, V19, DOI DOI 10.7551/MITPRESS/7503.003.0024
[10] Representation Learning: A Review and New Perspectives
Bengio, Yoshua
Courville, Aaron
Vincent, Pascal
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2013, 35 (08) : 1798 - 1828

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