The application of clustering techniques to predict the financial stability of banks

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Бібліографічні деталі
Дата:2015
Автори: A. O. Drobiazko, O. O. Liubich
Формат: Стаття
Мова:English
Опубліковано: 2015
Назва видання:Mathematical modelling in economy
Онлайн доступ:http://jnas.nbuv.gov.ua/article/UJRN-0000428771
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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spelling open-sciencenbuvgovua-589462024-04-16T12:41:45Z The application of clustering techniques to predict the financial stability of banks A. O. Drobiazko O. O. Liubich 2409-8876 2015 en Mathematical modelling in economy http://jnas.nbuv.gov.ua/article/UJRN-0000428771 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Mathematical modelling in economy
spellingShingle Mathematical modelling in economy
A. O. Drobiazko
O. O. Liubich
The application of clustering techniques to predict the financial stability of banks
format Article
author A. O. Drobiazko
O. O. Liubich
author_facet A. O. Drobiazko
O. O. Liubich
author_sort A. O. Drobiazko
title The application of clustering techniques to predict the financial stability of banks
title_short The application of clustering techniques to predict the financial stability of banks
title_full The application of clustering techniques to predict the financial stability of banks
title_fullStr The application of clustering techniques to predict the financial stability of banks
title_full_unstemmed The application of clustering techniques to predict the financial stability of banks
title_sort application of clustering techniques to predict the financial stability of banks
publishDate 2015
url http://jnas.nbuv.gov.ua/article/UJRN-0000428771
work_keys_str_mv AT aodrobiazko theapplicationofclusteringtechniquestopredictthefinancialstabilityofbanks
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AT aodrobiazko applicationofclusteringtechniquestopredictthefinancialstabilityofbanks
AT ooliubich applicationofclusteringtechniquestopredictthefinancialstabilityofbanks
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