Mining the Czech Insolvency Proceedings Data

被引:1
|
作者
Mrazova, Iveta [1 ]
Zvirinsky, Peter [1 ]
机构
[1] Charles Univ Prague, Fac Math & Phys, Dept Theoret Comp Sci & Math Log, CR-18000 Prague, Czech Republic
来源
COMPLEX ADAPTIVE SYSTEMS | 2014年 / 36卷
关键词
data mining; knowledge extraction; data pre-processing; social network analysis; community discovery;
D O I
10.1016/j.procs.2014.09.098
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Global Financial Crisis of 2008 has left behind it many victims worldwide - both among bankrupt companies and indebted people with a grim future ahead. On January 1, 2008, the government of the Czech Republic launched a new information system called Insolvency Register of the Czech Republic. Meanwhile, the Czech Insolvency Register contains publicly available data concerning more than 100 000 insolvency proceedings. Modern data mining methods quite naturally represent an appealing approach to analyze these huge amounts of open source data. In this context, especially the techniques of Bayesian networks and social network analysis seem to reveal several new socio-economic patterns present in the current Czech society. (C) 2014 Published by Elsevier B.V.
引用
收藏
页码:308 / 313
页数:6
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