ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM
Background. The paper raises the problem of building a software architecture for the primary processing of airline passenger data, data structuring and further clustering, taking into account industry specifics. Materials and methods. To solve this problem, the best practices of building loaded s...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Penza State University Publishing House
2023-05-01
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Series: | Модели, системы, сети в экономике, технике, природе и обществе |
Subjects: |
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author | A.D. Stolyarov V.V. Gordeev V.I. Abramov |
author_facet | A.D. Stolyarov V.V. Gordeev V.I. Abramov |
author_sort | A.D. Stolyarov |
collection | DOAJ |
description | Background. The paper raises the problem of building a software architecture
for the primary processing of airline passenger data, data structuring and further clustering,
taking into account industry specifics. Materials and methods. To solve this problem, the best
practices of building loaded systems for working with big data were studied, the most promising
from the point of view of development and mutual integration were identified. Results. The architecture of the passenger clustering system chosen as a result of the work was successfully
implemented in practice and proved to be effective and reliable. Conclusions. The
described approach is recommended for use as well-proven in working with large arrays of
industrial data. The approach will allow flexible scaling of the data processing system and
connection of other modules to it in the future. |
first_indexed | 2024-03-13T05:34:46Z |
format | Article |
id | doaj.art-b47e3e8d9ad74e23a704d7dc153c5db7 |
institution | Directory Open Access Journal |
issn | 2227-8486 |
language | English |
last_indexed | 2024-03-13T05:34:46Z |
publishDate | 2023-05-01 |
publisher | Penza State University Publishing House |
record_format | Article |
series | Модели, системы, сети в экономике, технике, природе и обществе |
spelling | doaj.art-b47e3e8d9ad74e23a704d7dc153c5db72023-06-14T11:40:41ZengPenza State University Publishing HouseМодели, системы, сети в экономике, технике, природе и обществе2227-84862023-05-01110.21685/2227-8486-2023-1-9ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEMA.D. Stolyarov0V.V. Gordeev1V.I. Abramov2National Research Nuclear University MEPhIAerolabs LLCNational Research Nuclear University MEPhIBackground. The paper raises the problem of building a software architecture for the primary processing of airline passenger data, data structuring and further clustering, taking into account industry specifics. Materials and methods. To solve this problem, the best practices of building loaded systems for working with big data were studied, the most promising from the point of view of development and mutual integration were identified. Results. The architecture of the passenger clustering system chosen as a result of the work was successfully implemented in practice and proved to be effective and reliable. Conclusions. The described approach is recommended for use as well-proven in working with large arrays of industrial data. The approach will allow flexible scaling of the data processing system and connection of other modules to it in the future.recommendation servicesdata clusteringmachine learningdigital transformationdigital technologiesdata structuringsoftware architecture |
spellingShingle | A.D. Stolyarov V.V. Gordeev V.I. Abramov ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM Модели, системы, сети в экономике, технике, природе и обществе recommendation services data clustering machine learning digital transformation digital technologies data structuring software architecture |
title | ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM |
title_full | ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM |
title_fullStr | ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM |
title_full_unstemmed | ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM |
title_short | ARCHITECTURE OF THE PASSENGER CLUSTERING SYSTEM |
title_sort | architecture of the passenger clustering system |
topic | recommendation services data clustering machine learning digital transformation digital technologies data structuring software architecture |
work_keys_str_mv | AT adstolyarov architectureofthepassengerclusteringsystem AT vvgordeev architectureofthepassengerclusteringsystem AT viabramov architectureofthepassengerclusteringsystem |