https://scholars.lib.ntu.edu.tw/handle/123456789/612295
標題: | Guest Editorial: Big Data Analytics: Risk and Operations Management for Industrial Applications | 作者: | Chan H.K. TSAN MING CHOI Yue X. |
公開日期: | 2016 | 出版社: | IEEE Computer Society | 卷: | 12 | 期: | 3 | 起(迄)頁: | 1214-1218 | 來源出版物: | IEEE Transactions on Industrial Informatics | 摘要: | 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/關鍵字: | Risk assessment; Analysis process; Industrial informatics; Industrial systems; Operations management; Potential risks; Sensory networks; Special sections; Uncertain factors; Big data |
顯示於: | 工商管理學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。