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

Institute of Engineering and Business Informatics (3740)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781665412629
DOIs	https://doi.org/10.1109/ICECCME52200.2021.9591154
Publication status	Published - 7 Oct 2021
Event	2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering: ICECCME 2021 - Mauritius, Mauritius Duration: 7 Oct 2021 → 8 Oct 2021

Publication series

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

Conference

Conference	2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering
Country/Territory	Mauritius
City	Mauritius
Period	7/10/21 → 8/10/21

Keywords

Data mining
Event Detection
Sentiment Analysis
Situational Awareness
Social Media

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems and Management
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICECCME52200.2021.9591154

Cite this

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).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

iLiKe - Intelligent Situation Information Portal to Support Disaster Operations

Cite this

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Projects

iLiKe - Intelligent Situation Information Portal to Support Disaster Operations

Cite this