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Retracted Article

RETRACTED ARTICLE: Clustering Optimization Algorithm for Blockchain Systems Based on Big Data Analysis

 

Abstract

We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Industrial Internet of Things”:

Yanjing Lu (2022) Clustering Optimization Algorithm for Blockchain Systems Based on Big Data Analysis, IETE Journal of Research, DOI:10.1080/03772063.2022.2038287

Following publication, concerns were raised about the peer review and decision-making processes for this special issue.

After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal’s peer review standards and policy.

As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue.

The journal has not confirmed if the authors were aware of this compromised peer review process.

The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision.

We have been informed in our decision-making by our editorial policies and the COPE guidelines.

The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’.

View retraction statement:
Statement of Retraction: Clustering Optimization Algorithm for Blockchain Systems Based on Big Data Analysis

Additional information

Funding

This study was supported by Open Foundation for Guangxi Colleges and Universities Key Lab of Complex System Optimization and Big Data Processing [grant number 2017CSOBDP0301], National Natural Science Foundation of China [grant number 61841603], and Guangxi Natural Science Foundation [grant number 2018JJA170050].

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