Analysis of modern tools of intellectual analysis of cliometric data

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dc.citation.epage62
dc.citation.journalTitleІнформація, комунікація, суспільство 2025: ICS-2025 : матеріали XIV Міжнародної наукової конференції
dc.citation.spage61
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorKhymytsia, Nataliia
dc.contributor.authorBudynchak, Sofia
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.coverage.temporal22-24 травня 2025 року, Львів
dc.date.accessioned2025-06-05T08:08:35Z
dc.date.created2025-05-22
dc.date.issued2025-05-22
dc.description.abstractThe article is devoted to the analysis of modern tools for creating an automated system for the intellectual analysis of cliometric data. Key technologies such as ETL tools, Big Data platforms (Hadoop, Spark, Kafka), NoSQL databases, cloud services (Google Cloud, AWS, Azure), as well as machine learning and artificial intelligence algorithms (in particular, neural networks) are considered. Particular attention is paid to the integration of technologies, automation of data processing, cleansing, visualisation and interpretation, as well as the role of expert systems in improving the quality of analytical results.
dc.format.extent61-62
dc.format.pages2
dc.identifier.citationKhymytsia N. Analysis of modern tools of intellectual analysis of cliometric data / Khymytsia Nataliia, Budynchak Sofia // Інформація, комунікація, суспільство 2025: ICS-2025 : матеріали XIV Міжнародної наукової конференції, 22-24 травня 2025 року, Львів. — Lviv : Lviv Politechnic Publishing House, 2025. — P. 61–62. — (Системи штучного інтелекту та машинне навчання).
dc.identifier.citationenKhymytsia N. Analysis of modern tools of intellectual analysis of cliometric data / Khymytsia Nataliia, Budynchak Sofia // Informatsiia, komunikatsiia, suspilstvo 2025: ICS-2025 : materialy XIV Mizhnarodnoi naukovoi konferentsii, 22-24 travnia 2025 roku, Lviv. — Lviv : Lviv Politechnic Publishing House, 2025. — P. 61–62. — (Systemy shtuchnoho intelektu ta mashynne navchannia).
dc.identifier.isbn978-966-994-052-0
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/65850
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofІнформація, комунікація, суспільство 2025: ICS-2025 : матеріали XIV Міжнародної наукової конференції, 2025
dc.relation.references[1] Diebolt, C., & Haupert, M. (2021). Cliometrics: Past, present and future (Working Paper No. 2021-13). Bureau d’Économie Théorique et Appliquée, Université de Strasbourg. https://beta.ustrasbg.fr/WP/2021/2021-13.pdf.
dc.relation.references[2] Ustyianovych, T., & Khymytsia, N. (2018). Application of machine learning algorithms for the study of Galicia population’s social characteristics in the interwar period (1919–1939). Proceedings of the 8th International Academic Conference of Young Scientists “Humanities and Social Sciences 2018” (с. 96-101). Lviv Polytechnic Publishing House. https://www.researchgate.net/publication/336876379
dc.relation.references[3] Khymytsia, N., Holub, S. (2019). Intelligent analysis of the results of climometric monitoring. Mathematical Machines and Systems, (4), 87-92.
dc.relation.references[4] Holub, S., and Khymytsia, N. (2018). A method for cliometric monitoring. In Proceedings of the 2nd IEEE International Conference on Data Stream Analysis and Processing (DSMP 2018) (pp. 223-226). Lviv, Ukraine.
dc.relation.referencesen[1] Diebolt, C., & Haupert, M. (2021). Cliometrics: Past, present and future (Working Paper No. 2021-13). Bureau d’Économie Théorique et Appliquée, Université de Strasbourg. https://beta.ustrasbg.fr/WP/2021/2021-13.pdf.
dc.relation.referencesen[2] Ustyianovych, T., & Khymytsia, N. (2018). Application of machine learning algorithms for the study of Galicia population’s social characteristics in the interwar period (1919–1939). Proceedings of the 8th International Academic Conference of Young Scientists "Humanities and Social Sciences 2018" (P. 96-101). Lviv Polytechnic Publishing House. https://www.researchgate.net/publication/336876379
dc.relation.referencesen[3] Khymytsia, N., Holub, S. (2019). Intelligent analysis of the results of climometric monitoring. Mathematical Machines and Systems, (4), 87-92.
dc.relation.referencesen[4] Holub, S., and Khymytsia, N. (2018). A method for cliometric monitoring. In Proceedings of the 2nd IEEE International Conference on Data Stream Analysis and Processing (DSMP 2018) (pp. 223-226). Lviv, Ukraine.
dc.relation.urihttps://beta.ustrasbg.fr/WP/2021/2021-13.pdf
dc.relation.urihttps://www.researchgate.net/publication/336876379
dc.rights.holder© Національний університет “Львівська політехніка”, 2025
dc.subjecthistorical and economic data
dc.subjectcliometry
dc.subjectautomated systems
dc.subjectintelligent analysis
dc.subjectartificial intelligence
dc.titleAnalysis of modern tools of intellectual analysis of cliometric data
dc.typeConference Abstract

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Інформація,комунікація,суспільство (ICS-2025). – 2025 р.