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