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Volume 12
Issue 14
10.3390/electronics12143197
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Retraction of Electronics 2022, 11(14), 2128.
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Retraction

RETRACTED: Obodoekwe et al. Convolutional Neural Networks in Process Mining and Data Analytics for Prediction Accuracy. Electronics 2022, 11, 2128

by
Ekene Obodoekwe
1,
Xianwen Fang
1,2,* and
Ke Lu
1
1
School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan 232000, China
2
Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety, Huainan 232000, China
*
Author to whom correspondence should be addressed.
Electronics 2023, 12(14), 3197; https://doi.org/10.3390/electronics12143197
Submission received: 3 July 2023 / Accepted: 4 July 2023 / Published: 24 July 2023
(This article belongs to the Section Computer Science & Engineering)
Versions Notes
The journal retracts the article entitled “Convolutional Neural Networks in Process Mining and Data Analytics for Prediction Accuracy” [1].
Following publication, concerns were brought to the attention of the Editorial Office regarding significant methodology and figure overlap with a previously published work [2] with a different authorship group and without appropriate citation.
Adhering to our complaint procedure, an investigation was conducted by the Editorial Office and Editorial Board. Input was sought from the School of Mathematics and Big Data at the Anhui University of Science and Technology and a significant overlap and lack of appropriate permission for the re-use of the methodology and figures was confirmed. This article is therefore retracted.
This retraction was approved by the Editor-in-Chief of the journal Electronics.
The authors agreed to this retraction.

References

  1. Obodoekwe, E.; Fang, X.; Lu, K. RETRACTED: Convolutional Neural Networks in Process Mining and Data Analytics for Prediction Accuracy. Electronics 2022, 11, 2128. [Google Scholar] [CrossRef]
  2. Pasquadibisceglie, V.; Appice, A.; Castellano, G.; Malerba, D. Using Convolutional Neural Networks for Predictive Process Analytics. In Proceedings of the International Conference on Process Mining, Aachen, Germany, 24–26 June 2019. [Google Scholar]
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MDPI and ACS Style

Obodoekwe, E.; Fang, X.; Lu, K. RETRACTED: Obodoekwe et al. Convolutional Neural Networks in Process Mining and Data Analytics for Prediction Accuracy. Electronics 2022, 11, 2128. Electronics 2023, 12, 3197. https://doi.org/10.3390/electronics12143197

AMA Style

Obodoekwe E, Fang X, Lu K. RETRACTED: Obodoekwe et al. Convolutional Neural Networks in Process Mining and Data Analytics for Prediction Accuracy. Electronics 2022, 11, 2128. Electronics. 2023; 12(14):3197. https://doi.org/10.3390/electronics12143197

Chicago/Turabian Style

Obodoekwe, Ekene, Xianwen Fang, and Ke Lu. 2023. "RETRACTED: Obodoekwe et al. Convolutional Neural Networks in Process Mining and Data Analytics for Prediction Accuracy. Electronics 2022, 11, 2128" Electronics 12, no. 14: 3197. https://doi.org/10.3390/electronics12143197

APA Style

Obodoekwe, E., Fang, X., & Lu, K. (2023). RETRACTED: Obodoekwe et al. Convolutional Neural Networks in Process Mining and Data Analytics for Prediction Accuracy. Electronics 2022, 11, 2128. Electronics, 12(14), 3197. https://doi.org/10.3390/electronics12143197

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