DocumentCode :
633024
Title :
Analysis of World Bank indicators for countries with banking crises by subgroup discovery induction
Author :
Gamberger, Dragan ; Lucanin, Draen ; Smuc, Tomislav
Author_Institution :
Rudjer Boskovic Inst., Zagreb, Croatia
fYear :
2013
fDate :
20-24 May 2013
Firstpage :
1138
Lastpage :
1142
Abstract :
The paper presents results of the analysis of countries that experienced banking crises in the period 1976-2011. The analysed data are World Bank indicators in the periods before the onset of the crises. The work is done as part of the EU FP7 project “Forecasting Financial Crises”. For the analysis we have used the subgroup discovery methodology, which is especially useful when different subtypes of the main concept are anticipated and when different, possibly even contradictory properties may characterize these subtypes. We describe the data preparation process and the Data Mining Server application for subgroup discovery induction. The applied methodology may also be useful for other applications in business and marketing domains. Our main result is the classification of five subsets of countries with banking crises. Three of them may be recognized as financially driven types of banking crises, while significant socio-economic problems are characteristic for the remaining two subgroups.
Keywords :
bank data processing; data mining; socio-economic effects; EU FP7 project; banking crises; business domain; contradictory properties; data mining server; data preparation process; forecasting financial crises; marketing domain; socio-economic problems; subgroup discovery induction; world bank indicators; Banking; Data analysis; Data mining; Economic indicators; Servers; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information & Communication Technology Electronics & Microelectronics (MIPRO), 2013 36th International Convention on
Conference_Location :
Opatija
Print_ISBN :
978-953-233-076-2
Type :
conf
Filename :
6596428
Link To Document :
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