Correction to: Artificial neural networks based techniques for anomaly detection in Apache Spark
Author(s)
Alnafessah, Ahmad
Casale, Giuliano
Type
Journal Article
Abstract
Correction to: Cluster Computing https://doi.org/10.1007/s10586-019-02998-y
The original version of this article unfortunately contained a graphical mistake in Table 4. Table 4 shows a list of performance metrics associated to the DSM1, DSM2, DSM3, and DSM4 methods proposed in the paper. Due to a production problem, this table does not display the necessary vertical dividing lines required to distinguish the four methods. The original Table 4 intended for publication is given in this erratum. The original article has been corrected.
The original version of this article unfortunately contained a graphical mistake in Table 4. Table 4 shows a list of performance metrics associated to the DSM1, DSM2, DSM3, and DSM4 methods proposed in the paper. Due to a production problem, this table does not display the necessary vertical dividing lines required to distinguish the four methods. The original Table 4 intended for publication is given in this erratum. The original article has been corrected.
Date Issued
2020-01-17
Date Acceptance
2019-10-01
Citation
Cluster Computing-The Journal of Networks Software Tools and Applications, 2020, 23 (2), pp.1361-1362
ISSN
1386-7857
Publisher
Springer
Start Page
1361
End Page
1362
Journal / Book Title
Cluster Computing-The Journal of Networks Software Tools and Applications
Volume
23
Issue
2
Copyright Statement
© The Author(s) 2020. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
License URL
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000507774200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
Publication Status
Published