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...

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Main Authors: A.D. Stolyarov, V.V. Gordeev, V.I. Abramov
Format: Article
Language:English
Published: Penza State University Publishing House 2023-05-01
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.
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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