New Tool for Visualization of Time Series and Anomalies in Streaming Data
Marek Otáhal and
Olga Štěpánková
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Marek Otáhal: Department of Cybernetics, Faculty of Electrical Engineering , Czech Technical University, Karlovo namesti 13, 121 35 Prague 2, Czech Republic
Olga Štěpánková: Department of Cybernetics, Faculty of Electrical Engineering , Czech Technical University, Karlovo namesti 13, 121 35 Prague 2, Czech Republic
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2016, vol. 64, issue 4, 1353-1364
Abstract:
A new software tool for simultaneous visualization of multiple time dependent signals, featuring a novel and highly useful combination of capabilities, and published as an open source solution is presented in this paper. The tool is designed to meet the needs of its users who expect lightweight, interactive & intuitive use and ease of deployment in current setups, including live monitoring systems with anomaly detection, highlighting and streaming data processing abilities. The functionality and motivation for our system is derived from various signal analysis applications, our research activities related to design and evaluation of neural network models, and from systems for continuous monitoring and anomaly detection (e.g. in IT or medical domains), which is demonstrated on simple use case examples.
Keywords: visualization; online monitoring; time-series; anomaly detection; interactive graph scaling (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2016064041353
DOI: 10.11118/actaun201664041353
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