Forecasting migration of EU citizens to Germany using Google Trends

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Bibliographic Details
Main Author: Nicholas Steinbrink
Format: Article
Language:English
Published: Polish Information Processing Society 2023-10-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_37/drp/pdf/3141.pdf
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author Nicholas Steinbrink
author_facet Nicholas Steinbrink
author_sort Nicholas Steinbrink
collection DOAJ
format Article
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institution Kabale University
issn 2300-5963
language English
publishDate 2023-10-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-8226f511ea9a4eef835c07b82b1058fe2025-08-20T03:51:08ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632023-10-013729530210.15439/2023F3141Forecasting migration of EU citizens to Germany using Google TrendsNicholas Steinbrinkhttps://annals-csis.org/Volume_37/drp/pdf/3141.pdf
spellingShingle Nicholas Steinbrink
Forecasting migration of EU citizens to Germany using Google Trends
Annals of computer science and information systems
title Forecasting migration of EU citizens to Germany using Google Trends
title_full Forecasting migration of EU citizens to Germany using Google Trends
title_fullStr Forecasting migration of EU citizens to Germany using Google Trends
title_full_unstemmed Forecasting migration of EU citizens to Germany using Google Trends
title_short Forecasting migration of EU citizens to Germany using Google Trends
title_sort forecasting migration of eu citizens to germany using google trends
url https://annals-csis.org/Volume_37/drp/pdf/3141.pdf
work_keys_str_mv AT nicholassteinbrink forecastingmigrationofeucitizenstogermanyusinggoogletrends