https://scholars.lib.ntu.edu.tw/handle/123456789/612295
Title: | Guest Editorial: Big Data Analytics: Risk and Operations Management for Industrial Applications | Authors: | Chan H.K. TSAN MING CHOI Yue X. |
Issue Date: | 2016 | Publisher: | IEEE Computer Society | Journal Volume: | 12 | Journal Issue: | 3 | Start page/Pages: | 1214-1218 | Source: | IEEE Transactions on Industrial Informatics | 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. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976287444&doi=10.1109%2fTII.2016.2558477&partnerID=40&md5=67cd9677b4ba6ffc87b43508f879932c https://scholars.lib.ntu.edu.tw/handle/123456789/612295 |
DOI: | 10.1109/TII.2016.2558477 | SDG/Keyword: | Risk assessment; Analysis process; Industrial informatics; Industrial systems; Operations management; Potential risks; Sensory networks; Special sections; Uncertain factors; Big data |
Appears in Collections: | 工商管理學系 |
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