Acta Univ. Agric. Silvic. Mendelianae Brun. 2016, 64(4), 1353-1364 | DOI: 10.11118/actaun201664041353

New Tool for Visualization of Time Series and Anomalies in Streaming Data

Marek Otáhal, Olga Štěpánková
Department of Cybernetics, Faculty of Electrical Engineering , Czech Technical University, Karlovo namesti 13, 121 35 Prague 2, Czech Republic

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
Grants and funding:

The work has been supported from the grants SGS14/144/OHK3/2T/13 and SGS16/231/OH3/3T/13 at CTU/FEE.

Prepublished online: August 30, 2016; Published: September 1, 2016  Show citation

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Otáhal, M., & Štěpánková, O. (2016). New Tool for Visualization of Time Series and Anomalies in Streaming Data. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 64(4), 1353-1364. doi: 10.11118/actaun201664041353
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