A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia
Skladište podataka za analizu stope nezaposlenosti u Republici Srbiji
Конференцијски прилог (Објављена верзија)
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Univerzitet u Beogradu - Fakultet organizacionih nauka
Метаподаци
Приказ свих података о документуАпстракт
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.
U radu predstavljamo sistem skladišta podataka za analizu stope
nezaposlenosti u Republici Srbiji. Cilj našeg istraživanja je da unapredimo analitičke
mogućnosti stope nezaposlenosti u Srbiji kreiranjem novog alata poslovne inteligencije i
prediktivnih modela mašinskog učenja. Prvo razmatramo motive istraživanja i problem
nezaposlenosti, a zatim predstavljamo proces razvoja predloženog sistema skladišta
podataka. Metodologija kvaliteta skladišta podataka je primenjena za procenu kvaliteta
podataka. Algoritmi mašinskog učenja su korišćeni za izgradnju prediktivnih modela i
sticanje uvida u razlike u stopama nezaposlenosti između mladih i iskusnih radnika.
Konačno, napravili smo nekoliko izveštaja kako bismo vizuelno predstavili rezultate
predloženih analiza podataka.
Кључне речи:
Unemployment / Data Warehouse / Data Quality / Machine LearningИзвор:
06-11-2023, 573-580Издавач:
- Univerzitet u Beogradu - Fakultet organizacionih nauka
Институција/група
Fakultet organizacionih naukaTY - CONF AU - Đukić, Marija AU - Luković, Ivan PY - 2023-11-06 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2737 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. AB - U radu predstavljamo sistem skladišta podataka za analizu stope nezaposlenosti u Republici Srbiji. Cilj našeg istraživanja je da unapredimo analitičke mogućnosti stope nezaposlenosti u Srbiji kreiranjem novog alata poslovne inteligencije i prediktivnih modela mašinskog učenja. Prvo razmatramo motive istraživanja i problem nezaposlenosti, a zatim predstavljamo proces razvoja predloženog sistema skladišta podataka. Metodologija kvaliteta skladišta podataka je primenjena za procenu kvaliteta podataka. Algoritmi mašinskog učenja su korišćeni za izgradnju prediktivnih modela i sticanje uvida u razlike u stopama nezaposlenosti između mladih i iskusnih radnika. Konačno, napravili smo nekoliko izveštaja kako bismo vizuelno predstavili rezultate predloženih analiza podataka. PB - Univerzitet u Beogradu - Fakultet organizacionih nauka T1 - A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia T1 - Skladište podataka za analizu stope nezaposlenosti u Republici Srbiji EP - 580 SP - 573 ER -
@conference{ author = "Đukić, Marija and Luković, Ivan", year = "2023-11-06", 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., U radu predstavljamo sistem skladišta podataka za analizu stope nezaposlenosti u Republici Srbiji. Cilj našeg istraživanja je da unapredimo analitičke mogućnosti stope nezaposlenosti u Srbiji kreiranjem novog alata poslovne inteligencije i prediktivnih modela mašinskog učenja. Prvo razmatramo motive istraživanja i problem nezaposlenosti, a zatim predstavljamo proces razvoja predloženog sistema skladišta podataka. Metodologija kvaliteta skladišta podataka je primenjena za procenu kvaliteta podataka. Algoritmi mašinskog učenja su korišćeni za izgradnju prediktivnih modela i sticanje uvida u razlike u stopama nezaposlenosti između mladih i iskusnih radnika. Konačno, napravili smo nekoliko izveštaja kako bismo vizuelno predstavili rezultate predloženih analiza podataka.", publisher = "Univerzitet u Beogradu - Fakultet organizacionih nauka", title = "A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia, Skladište podataka za analizu stope nezaposlenosti u Republici Srbiji", pages = "580-573" }
Đukić, M.,& Luković, I.. (2023-11-06). A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia. Univerzitet u Beogradu - Fakultet organizacionih nauka., 573-580.
Đukić M, Luković I. A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia. 2023;:573-580..
Đukić, Marija, Luković, Ivan, "A Data Warehouse System for an Analysis of Unemployment Rate in the Republic of Serbia" (2023-11-06):573-580.