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

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.

Originalspracheenglisch
TitelInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781665412629
DOIs
PublikationsstatusVeröffentlicht - 7 Okt 2021
Veranstaltung2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering: ICECCME 2021 - Mauritius, Mauritius
Dauer: 7 Okt 20218 Okt 2021

Publikationsreihe

NameInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021

Konferenz

Konferenz2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering
LandMauritius
OrtMauritius
Zeitraum7/10/218/10/21

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

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