A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia
Конференцијски прилог (Објављена верзија)
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In the paper, we present a data warehouse system to analyze the unemployment rate in the Republic of Serbia. The goal of our research is to improve the analytical capabilities of the unemployment rate in Serbia by creating a new business intelligence tool and predictive machine learning models. First, we discuss research motives and the unemployment problem, and then we present the development process of the proposed data warehouse system. The Data Warehouse Quality methodology has been deployed to assess the quality of the data. Machine learning algorithms have been utilized to build predictive models and gain insights into the differences in unemployment rates between young and experienced workers. Finally, we have created several reports to visually present the results of the proposed data analyses.
Кључне речи:
unemployment, data warehouse, data quality, machine learningИзвор:
University of Belgrade - Faculty of Organizational Sciences, 07-11-2023, 572-Издавач:
- University of Belgrade, Faculty of Organizational Sciences
Институција/група
Fakultet organizacionih naukaTY - CONF AU - Đukić, Marija AU - Luković, Ivan PY - 2023-11-07 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2748 AB - In the paper, we present a data warehouse system to analyze the unemployment rate in the Republic of Serbia. The goal of our research is to improve the analytical capabilities of the unemployment rate in Serbia by creating a new business intelligence tool and predictive machine learning models. First, we discuss research motives and the unemployment problem, and then we present the development process of the proposed data warehouse system. The Data Warehouse Quality methodology has been deployed to assess the quality of the data. Machine learning algorithms have been utilized to build predictive models and gain insights into the differences in unemployment rates between young and experienced workers. Finally, we have created several reports to visually present the results of the proposed data analyses. PB - University of Belgrade, Faculty of Organizational Sciences C3 - University of Belgrade - Faculty of Organizational Sciences T1 - A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia SP - 572 ER -
@conference{ author = "Đukić, Marija and Luković, Ivan", year = "2023-11-07", abstract = "In the paper, we present a data warehouse system to analyze the unemployment rate in the Republic of Serbia. The goal of our research is to improve the analytical capabilities of the unemployment rate in Serbia by creating a new business intelligence tool and predictive machine learning models. First, we discuss research motives and the unemployment problem, and then we present the development process of the proposed data warehouse system. The Data Warehouse Quality methodology has been deployed to assess the quality of the data. Machine learning algorithms have been utilized to build predictive models and gain insights into the differences in unemployment rates between young and experienced workers. Finally, we have created several reports to visually present the results of the proposed data analyses.", publisher = "University of Belgrade, Faculty of Organizational Sciences", journal = "University of Belgrade - Faculty of Organizational Sciences", title = "A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia", pages = "572" }
Đukić, M.,& Luković, I.. (2023-11-07). A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia. in University of Belgrade - Faculty of Organizational Sciences University of Belgrade, Faculty of Organizational Sciences., 572.
Đukić M, Luković I. A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia. in University of Belgrade - Faculty of Organizational Sciences. 2023;:572..
Đukić, Marija, Luković, Ivan, "A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia" in University of Belgrade - Faculty of Organizational Sciences (2023-11-07):572.