Rescue Event Categorization Based on Estonian Rescue Services Data from 2010–2013
Name
Johannes Horm
Abstract
The aim of this Bachelor’s thesis is to analyse the data collected from emergency responses between 2010 and 2013 with automatic data mining algorithms. The collected data is processed using cluster analysis methods, in which categories containing similar callouts are grouped into clusters. The focus is on patterns, exceptions and trends. The thesis helps the strategy set by the Estonian Rescue Services from 2015 to 2025. One of the main objectives set the by the strategy is to raise the effectiveness using business data gathered from callouts. Analysing the data for business intelligence helps the Estonian Rescue Services to make more effective and smarter decisions on how to use their limited resources to guarantee the safety and security of Estonians.
Graduation Thesis language
Estonian
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Siim Karus
Defence year
2016