THE ROLE OF DATA MINING TECHNIQUES IN EMERGENCY MANAGEMENT

Ning Chen, An Chen

Abstract

Emergency management is becoming more and more attractive in both theory and practice due to the frequently occurring incidents in the world. The objective of emergency management is to make optimal decisions to decrease or diminish harm caused by incidents. Nowadays the overwhelming amount of information leads to a great need of effective data analysis for the purpose of well informed decision. The potential of data mining has been demonstrated through the success of decision-making module in present-day emergency management systems. In this paper, we review advanced data mining techniques applied in emergency management and indicate some promising future research directions.

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Paper Citation


in Harvard Style

Chen N. and Chen A. (2009). THE ROLE OF DATA MINING TECHNIQUES IN EMERGENCY MANAGEMENT . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 118-123. DOI: 10.5220/0001961601180123


in Bibtex Style

@conference{iceis09,
author={Ning Chen and An Chen},
title={THE ROLE OF DATA MINING TECHNIQUES IN EMERGENCY MANAGEMENT},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={118-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001961601180123},
isbn={978-989-8111-85-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - THE ROLE OF DATA MINING TECHNIQUES IN EMERGENCY MANAGEMENT
SN - 978-989-8111-85-2
AU - Chen N.
AU - Chen A.
PY - 2009
SP - 118
EP - 123
DO - 10.5220/0001961601180123