Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
Version 2 2024-06-06, 07:07Version 2 2024-06-06, 07:07
Version 1 2020-06-03, 09:34Version 1 2020-06-03, 09:34
journal contribution
posted on 2024-06-06, 07:07 authored by P Rathore, D Kumar, JC Bezdek, Sutharshan RajasegararSutharshan Rajasegarar, M PalaniswamiVisual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
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Journal
IEEE Transactions on CyberneticsVolume
51Pagination
5979-5992Location
United StatesISSN
2168-2267eISSN
2168-2275Language
EnglishNotes
In PressPublication classification
C1 Refereed article in a scholarly journalIssue
12Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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Keywords
Science & TechnologyTechnologyAutomation & Control SystemsComputer Science, Artificial IntelligenceComputer Science, CyberneticsComputer ScienceStreaming mediaClustering algorithmsData visualizationMicrosoft WindowsVisualizationData modelsHeating systemsBig datachange detectionInternet of Things (IoT)streaming datavisual assessment of tendencyvisual cluster footprintCLUSTERSINTERNETNUMBER4606 Distributed computing and systems software
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