Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data-Reference-Cited by-同舟云学术

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Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data

Published:2018 Issue: Volume:46 Page:107-133
ISSN:1367-5788
Container-title:Annual Reviews in Control
language:en
Short-container-title:Annual Reviews in Control

Author:

Zhu Jinlin,Ge Zhiqiang,Song Zhihuan,Gao Furong

Funder

National Natural Science Foundation of China (NSFC)

Natural Science Foundation of Zhejiang Province

Fundamental Research Funds for the Central Universities

Hong Kong Research Grant Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Control and Systems Engineering,Software

Reference268 articles.

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2. Approximate inference in state-space models with heavy-tailed noise;Agamennoni;Signal Processing, IEEE Transactions on,2012

3. A comprehensive survey of numeric and symbolic outlier mining techniques;Agyemang;Intelligent Data Analysis,2006

4. A MapReduce-based distributed SVM algorithm for automatic image annotation;Alham;Computers & Mathematics with Applications,2011

5. Redundant sensor network design for linear processes;Ali;AIChE Journal,1995

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