RETRACTION: Visualizing Expert Systems Using Client-Server Technology
- DOI
- 10.2991/mcei-16.2016.91How to use a DOI?
- Keywords
- Expert Systems; Symmetries; Lamport clocks; N red-black trees
- Abstract
In April 2020, Atlantis Press was alerted to fake proceedings articles hosted on our platform. These articles, mostly in computer science and engineering, were generated by the SCIgen computer program and were all published between 2006-2018. Immediately after receiving the alert, Atlantis Press initiated a thorough investigation and contacted the relevant conference organizers and authors. As a member of the Committee on Publication Ethics (COPE), we followed COPE-compliant guidelines and procedures while investigating these cases. Based on this, it was concluded that all these proceedings articles should be retracted. This article (https://doi.org/10.2991/mcei-16.2016.91) was one of the affected cases and has therefore been retracted accordingly. Since 2018, strong editorial and publishing control measures were put in place to reject fake submissions, unethical research and low-quality papers. We also conduct regular audits of our existing procedures to identify improvements to processes and to avoid such issues from happening again. The Publisher apologizes for any inconvenience this may cause. The full Atlantis Press Policy on Article Retraction can be found at: https://www.atlantis-press.com/policies/article-retraction-and-withdrawal
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaopeng Wang AU - Tao Duan PY - 2016/12 DA - 2016/12 TI - RETRACTION: Visualizing Expert Systems Using Client-Server Technology BT - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016) PB - Atlantis Press SP - 444 EP - 444 SN - 1951-6851 UR - https://doi.org/10.2991/mcei-16.2016.91 DO - 10.2991/mcei-16.2016.91 ID - Wang2016/12 ER -