Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams

Rathore, Punit, Kumar, Dheeraj, Bezdek, James C., Rajasegarar, Sutharshan and Palaniswami, Marimuthu 2020, Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams, IEEE Transactions on Cybernetics, pp. 1-14, doi: 10.1109/tcyb.2020.2973137.

Attached Files
Name Description MIMEType Size Downloads

Title Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
Author(s) Rathore, Punit
Kumar, Dheeraj
Bezdek, James C.
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736
Palaniswami, Marimuthu
Journal name IEEE Transactions on Cybernetics
Start page 1
End page 14
Total pages 14
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2168-2267
2168-2275
Keyword(s) Big data
change detection
Internet of Things (IoT)
streaming data
visual assessment of tendency
visual cluster footprint
Notes In Press
Language eng
DOI 10.1109/tcyb.2020.2973137
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137935

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 46 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Wed, 03 Jun 2020, 09:35:14 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.