Data mining tools for complex socio-economic processes and systems
The paper considers discovering new and potentially useful information from large amounts of data that actualizes the role of developing data mining tools for complex socio-economic processes and systems based on the principles of the digital economy and their processing using network applications....
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Format: | Article |
Language: | Ukrainian |
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Igor Sikorsky Kyiv Polytechnic Institute
2022-12-01
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Series: | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
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Online Access: | http://journal.iasa.kpi.ua/article/view/256771 |
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author | Tetyana Obelets |
author_facet | Tetyana Obelets |
author_sort | Tetyana Obelets |
collection | DOAJ |
description | The paper considers discovering new and potentially useful information from large amounts of data that actualizes the role of developing data mining tools for complex socio-economic processes and systems based on the principles of the digital economy and their processing using network applications. The stages of data mining for complex socio-economic processes and systems were outlined. The algorithm of data mining was considered. It is determined that the previously used stages of data mining, which were limited to the model-building process, can be extended through the use of more powerful computer technology and the emergence of free access to large amounts of multidimensional data. The available stages of data mining for complex socio-economic processes and systems include the processes of facilitating data preparation, evaluation, and visualization of models, as well as in-depth learning. The data mining tools for complex socio-economic processes and systems in the context of technological progress and following the big data paradigm were identified. The data processing cycle has been investigated; this process consists of a series of steps starting with the input of raw data and ending with the output of useful information. The knowledge obtained at the data processing stage is the basis for creating models of complex socio-economic processes and systems. Two types of models (descriptive and predictive) that could be created in the data mining process were outlined. Algorithms for estimating and analyzing data for modeling complex socio-economic processes and systems in accordance with the pre-set task were determined. The efficiency of introducing neural networks and deep learning methods used in data mining was analyzed. It was determined that they would allow effective analysis and use of the existing large data sets for operational human resources management and strategic planning of complex socio-economic processes and systems. |
first_indexed | 2024-03-08T12:59:37Z |
format | Article |
id | doaj.art-b37e48b6738e4c9685c4c2f2317f169a |
institution | Directory Open Access Journal |
issn | 1681-6048 2308-8893 |
language | Ukrainian |
last_indexed | 2024-03-08T12:59:37Z |
publishDate | 2022-12-01 |
publisher | Igor Sikorsky Kyiv Polytechnic Institute |
record_format | Article |
series | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
spelling | doaj.art-b37e48b6738e4c9685c4c2f2317f169a2024-01-19T12:36:00ZukrIgor Sikorsky Kyiv Polytechnic InstituteSistemnì Doslìdženâ ta Informacìjnì Tehnologìï1681-60482308-88932022-12-014687810.20535/SRIT.2308-8893.2022.4.06294683Data mining tools for complex socio-economic processes and systemsTetyana Obelets0https://orcid.org/0000-0002-1553-5150National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", KyivThe paper considers discovering new and potentially useful information from large amounts of data that actualizes the role of developing data mining tools for complex socio-economic processes and systems based on the principles of the digital economy and their processing using network applications. The stages of data mining for complex socio-economic processes and systems were outlined. The algorithm of data mining was considered. It is determined that the previously used stages of data mining, which were limited to the model-building process, can be extended through the use of more powerful computer technology and the emergence of free access to large amounts of multidimensional data. The available stages of data mining for complex socio-economic processes and systems include the processes of facilitating data preparation, evaluation, and visualization of models, as well as in-depth learning. The data mining tools for complex socio-economic processes and systems in the context of technological progress and following the big data paradigm were identified. The data processing cycle has been investigated; this process consists of a series of steps starting with the input of raw data and ending with the output of useful information. The knowledge obtained at the data processing stage is the basis for creating models of complex socio-economic processes and systems. Two types of models (descriptive and predictive) that could be created in the data mining process were outlined. Algorithms for estimating and analyzing data for modeling complex socio-economic processes and systems in accordance with the pre-set task were determined. The efficiency of introducing neural networks and deep learning methods used in data mining was analyzed. It was determined that they would allow effective analysis and use of the existing large data sets for operational human resources management and strategic planning of complex socio-economic processes and systems.http://journal.iasa.kpi.ua/article/view/256771data miningcomplex socio-economic systemspredictive modelingneural networksdeep learning |
spellingShingle | Tetyana Obelets Data mining tools for complex socio-economic processes and systems Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï data mining complex socio-economic systems predictive modeling neural networks deep learning |
title | Data mining tools for complex socio-economic processes and systems |
title_full | Data mining tools for complex socio-economic processes and systems |
title_fullStr | Data mining tools for complex socio-economic processes and systems |
title_full_unstemmed | Data mining tools for complex socio-economic processes and systems |
title_short | Data mining tools for complex socio-economic processes and systems |
title_sort | data mining tools for complex socio economic processes and systems |
topic | data mining complex socio-economic systems predictive modeling neural networks deep learning |
url | http://journal.iasa.kpi.ua/article/view/256771 |
work_keys_str_mv | AT tetyanaobelets dataminingtoolsforcomplexsocioeconomicprocessesandsystems |