Applying data mining techniques in the context of social media to improve situational awareness at large-scale events

Rainer Simon; Drazen Ignjatovic; Georg Neubauer; Clemens Gutschi; Johannes Pan; Siegfried Vossner

doi:10.1109/ICECCME52200.2021.9591154

Applying data mining techniques in the context of social media to improve situational awareness at large-scale events

Rainer Simon, Drazen Ignjatovic, Georg Neubauer, Clemens Gutschi, Johannes Pan, Siegfried Vossner

Institut für Maschinenbau- und Betriebsinformatik (3740)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

Having relevant information plays an important role in every aspect of human life. Data mining supports the extraction of additional information by discovering patterns and correlations between data within the dataset under investigation. Information obtained in this way is used in various applications ranging from education, business to crisis management etc. Enhanced situational awareness is a foundation for improved decision making. A prerequisite for optimized decision making is to quickly obtain valid information on a given topic, but also to have it presented in an understandable and easily digestible form. In this paper, we propose a method for applying data mining techniques in the context of social media to improve situational awareness in large-scale events by describing a solution for an intelligent situational information portal that leverages open data information sources and channels for improving decision support.

Originalsprache	englisch
Titel	International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers
ISBN (elektronisch)	9781665412629
DOIs	https://doi.org/10.1109/ICECCME52200.2021.9591154
Publikationsstatus	Veröffentlicht - 7 Okt. 2021
Veranstaltung	2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering: ICECCME 2021 - Mauritius, Mauritius Dauer: 7 Okt. 2021 → 8 Okt. 2021

Publikationsreihe

Name	International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021

Konferenz

Konferenz	2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering
Land/Gebiet	Mauritius
Ort	Mauritius
Zeitraum	7/10/21 → 8/10/21

ASJC Scopus subject areas

Artificial intelligence
Computernetzwerke und -kommunikation
Hardware und Architektur
Informationssysteme und -management
Energieanlagenbau und Kraftwerkstechnik
Elektrotechnik und Elektronik
Maschinenbau
Sicherheit, Risiko, Zuverlässigkeit und Qualität

Zugriff auf Dokument

10.1109/ICECCME52200.2021.9591154

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85119428927&partnerID=8YFLogxK

iLiKe - Intelligentes Lageinformationsportal zur Unterstützung im Katastropheneinsatz
Gutschi, C., Vorraber, W., Vössner, S. & Pan, J.
1/11/19 → 31/10/21
Projekt: Forschungsprojekt

Dieses zitieren

Simon, R., Ignjatovic, D., Neubauer, G., Gutschi, C., Pan, J., & Vossner, S. (2021). Applying data mining techniques in the context of social media to improve situational awareness at large-scale events. in International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021 (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICECCME52200.2021.9591154

Applying data mining techniques in the context of social media to improve situational awareness at large-scale events. / Simon, Rainer; Ignjatovic, Drazen; Neubauer, Georg et al.
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021. Institute of Electrical and Electronics Engineers, 2021. (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Simon, R, Ignjatovic, D, Neubauer, G, Gutschi, C, Pan, J & Vossner, S 2021, Applying data mining techniques in the context of social media to improve situational awareness at large-scale events. in International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021. International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021, Institute of Electrical and Electronics Engineers, 2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, Mauritius, Mauritius, 7/10/21. https://doi.org/10.1109/ICECCME52200.2021.9591154

Simon R, Ignjatovic D, Neubauer G, Gutschi C, Pan J, Vossner S. Applying data mining techniques in the context of social media to improve situational awareness at large-scale events. in International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021. Institute of Electrical and Electronics Engineers. 2021. (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021). doi: 10.1109/ICECCME52200.2021.9591154

Simon, Rainer ; Ignjatovic, Drazen ; Neubauer, Georg et al. / Applying data mining techniques in the context of social media to improve situational awareness at large-scale events. International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021. Institute of Electrical and Electronics Engineers, 2021. (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021).

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AU - Ignjatovic, Drazen

AU - Neubauer, Georg

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AU - Pan, Johannes

AU - Vossner, Siegfried

PY - 2021/10/7

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KW - Sentiment Analysis

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M3 - Conference paper

AN - SCOPUS:85119428927

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BT - International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021

PB - Institute of Electrical and Electronics Engineers

T2 - 2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering

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Applying data mining techniques in the context of social media to improve situational awareness at large-scale events

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

Andere Dateien und Links

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Projekte

iLiKe - Intelligentes Lageinformationsportal zur Unterstützung im Katastropheneinsatz

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