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  • 2018
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  • Josef Suschnigg
2020

Exploration of Anomalies in Cyclic Multivariate Industrial Time Series Data for Condition Monitoring

Suschnigg, J., Mutlu, B., Fuchs, A. K., Sabol, V., Thalmann, S. & Schreck, T., 30 Mar 2020, Proceedings of the EDBT/ICDT 2020 Joint Conference Workshops: 3rd International Workshop on Big Data Visual Exploration and Analytics. CEUR Workshop Proceedings, 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access

Industrial Production Process Improvement by a Process Engine Visual Analytics Dashboard

Suschnigg, J., Ziessler, F., Brillinger, M., Vukovic, M., Mangler, J., Schreck, T. & Thalmann, S., 7 Jan 2020, Proceedings of the 53rd Hawaii International Conference on System Sciences. p. 1320-1329 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

2018

Data Analytics for Industrial Process Improvement - A Vision Paper

Thalmann, S., Mangler, J., Schreck, T., Huemer, C., Streit, M., Pauker, F., Weichhart, G., Schulte, S., Kittl, C., Pollak, C., Vukovic, M., Kappel, G., Gashi, M., Rinderle-Ma, S., Suschnigg, J., Jekic, N. & Lindstaedt, S., 1 Jul 2018, IEEE Conf. on Business Informatics, Workshop on Business Analytics in Practice and Applied Research. Vol. 02. p. 92-96 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review