Data mining tools for complex socio-economic processes and systems
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Дата
2022
Автори
Науковий керівник
Назва журналу
Номер ISSN
Назва тому
Видавець
КПІ ім. Ігоря Сікорського
Анотація
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 indepth
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.
Опис
Ключові слова
data mining, complex socio-economic systems, predictive modeling, neural networks, deep learning, інтелектуальний аналіз даних, складні соціально-економічні системи, прогностичне моделювання, нейронні мережі, глибинне навчання
Бібліографічний опис
Obelets, T. V. Data mining tools for complex socio-economic processes and systems / T. V. Obelets // Системні дослідження та інформаційні технології : міжнародний науково-технічний журнал. – 2022. – № 4. – С. 68-78. – Бібліогр.: 21 назв.