Authors:
Ning Chen
1
and
An Chen
2
Affiliations:
1
Instituto Politecnico do Porto, Instituto Superior de Engenharia do Porto, Portugal
;
2
Institute of Policy and Management, China
Keyword(s):
Emergency management, Data mining, Intelligent decision support system, Assessment, Planning.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Business Analytics
;
Case-Based Reasoning
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge Engineering
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Knowledge-Based Systems Applications
;
Pattern Recognition
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Software Engineering
;
Strategic Decision Support Systems
;
Symbolic Systems
;
Theory and Methods
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.