Guest Editorial: Big Data Analytics: Risk and Operations Management for Industrial Applications

Hing Kai Chan, Tsan Ming Choi, Xiaohang Yue

Research output: Journal PublicationReview articlepeer-review

20 Citations (Scopus)

Abstract

The special section of IEEE Transactions On Industrial Informatics focuses more on the handling and analysis of the collected data. It is expected that analyzing the data can improve the reliability of industrial systems by predicting the occurrence of potential risks and then rectification can be made accordingly. These risks are linked to uncertain factors hidden in the systems that can be revealed by the data analysis process. The operations of the whole industrial system follow certain logic based on the sensory network in the system.

Original languageEnglish
Article number7460922
Pages (from-to)1214-1218
Number of pages5
JournalIEEE Transactions on Industrial Informatics
Volume12
Issue number3
DOIs
Publication statusPublished - 2016

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Guest Editorial: Big Data Analytics: Risk and Operations Management for Industrial Applications'. Together they form a unique fingerprint.

Cite this