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Проектирование и разработка модуля для расчёта начального рейтинга транспортного перевозчика с использованием алгоритмов машинного обучения
С. 94-102.
Bulychev A., Сомов О. Д.
In the process of developing an information system for logistics transportation, there is a need to determine the initial rating of the new carrier within the parent company. The presence of the rating helps to more accurately carry out the formation of orders and build forecasts of its interaction with the parent company in the future
Keywords: логистикарейтингмашинное обучениеmanagementуправлениеавтоматизацияпринятие решенийсистемный анализклассификацияметод главных компонентlogisticsсложные системыratingautomationsystem analysismachine learningclassificationcomplex systemsdecision makingclassification treesрешающие деревьяслучайный лесprincipal component methodGradient boostingградиентный бустингrandom forest
In book
Ростов н/Д : Ростовский государственный экономический университет "РИНХ", 2018
Bukina T. V., Kashin D., Экономический журнал Высшей школы экономики 2024 Т. 28 № 1 С. 81-107
The paper reveals the forecasts for regional inflation based on the regions of the Privolzhskiy Federal District (PFD). The purpose of the study is to determine the model that most accurately predicts regional inflation. The paper compares the tools of machine learning – support vector machines, gradient boosting, and random forest – with econometric models ...
Added: February 13, 2024
Ростов н/Д : Ростовский государственный экономический университет "РИНХ", 2018
The conference proceedings present the results of research of young scientists of the leading scientific organizations of Russia on a wide range of topical problems of Informatics, management and system analysis. Interdisciplinary research and intensive use of data are key features of modern science. The IMSA-2018 conference (Informatics, Management and Systems Analysis) aims to establish ...
Added: September 3, 2019
Knyazeva H., В кн. : Рефлексивные процессы и управление. Сборник материалов IХ Международного симпозиума. : М. : Когито-центр, 2013. С. 206-209.
Раскрываются концептуальные и методологические основания эффективного построения активных сред инновационного развития. В качестве методологически ключевых используются идеи эволюционизма (глобального эволюционизма), универсально понятой экологии, эмерджентизма и управления временем (конструирования желаемого будущего). Эволюционизм понимается в более широком смысле, чем в эпоху Дарвина, когда он включал в себя идею умножения первичного разнообразия элементов среды и естественного отбора наиболее ...
Added: November 13, 2013
Аслаханов А. Р., Pavlova E., Логистика и управление цепями поставок 2020 № 4 (99) С. 29-38
In recent years, both in Russia and in the world, there has been an annual increase in the number of museum visitors. The most popular exhibitions are visited by millions of people. In 2020, in the context of quarantine measures caused by the COVID-19 epidemic, the issue of managing the museum's visitors’ flows has become ...
Added: September 29, 2020
СПб. : Политех-Пресс, 2021
В сборник научных трудов XXV Международной научной и учебнопрактической конференции «Системный анализ в проектировании и управлении», проводимой Санкт-Петербургским политехническим университетом Петра Великого совместно с Южным федеральным университетом, Санкт-Петербургским отделением Международной академии наук высшей школы, Центральным экономикоматематическим институтом РАН, Центром по изучению проблем информатики Института научной информации по общественным наукам РАН, Санкт-Петербургским Федеральным исследовательским центром РАН, ...
Added: February 7, 2023
Cheloshkina K., Bzhikhatlov I., Poptsova M., Journal of Computational Biology 2021 Vol. 28 No. 7 P. 716-731
Cancer genomes are susceptible to multiple rearrangements by deleting, inserting, and translocating genomic regions. Recently, the problem of finding determinants of breakpoint formations was approached with machine learning methods; however, unlike cancer point mutations, breakpoint prediction appeared to be a more difficult task, and various machine learning models did not achieve high prediction power often ...
Added: September 10, 2021
Ignatov D. I., Zhuk R., Konstantinova N., , in : Proceedings of The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2014, 11-14 August 2014 Warsaw, Poland. : Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014. P. 474-480.
We propose extensions of the classical JSM-method andtheNa ̈ıveBayesianclassifierforthecaseoftriadicrelational data. We performed a series of experiments on various types of data (both real and synthetic) to estimate quality of classification techniques and compare them with other classification algorithms that generate hypotheses, e.g. ID3 and Random Forest. In addition to classification precision and recall we also ...
Added: June 9, 2014
Vlasenko D., Zaikin A., Zakharov D., Известия высших учебных заведений. Прикладная нелинейная динамика 2023 Т. 31 № 5 С. 661-669
Because the brain is an extremely complex hypernet of interacting macroscopic subnetworks, full-scale analysis of brain activity is a daunting task.Nevertheless,this task can be greatly simplified by analysing the correspondence between various patterns of macroscopic brain activity, forex ample,through functional magneticresonance imaging(fMRI) scans, and the performance of particular cognitive tasks or pathological states.The purpose of ...
Added: October 4, 2023
Kashnitsky Y., Ignatov D. I., Интеллектуальные системы. Теория и приложения 2015 Т. 19 № 4 С. 37-55
The paper makes a brief introduction into multiple classifier systems and describes a particular algorithm which improves classification accuracy by making a recommendation of an algorithm to an object. This recommendation is done under a hypothesis that a classifier is likely to predict the label of the object correctly if it has correctly classified its ...
Added: December 7, 2015
Zhuk R., Ignatov D. I., Konstantinova N., Procedia Computer Science 2014 Vol. 31 P. 928-938
We propose extensions of the classical JSM-method and the Na ̈ıve Bayesian classifier for the case of triadic relational data. We performed a series of experiments on various types of data (both real and synthetic) to estimate quality of classification techniques and compare them with other classification algorithms that generate hypotheses, e.g. ID3 and Random ...
Added: June 9, 2014
Knyazeva H., Курдюмов С. П., М. : Наука, 1994
The monograph is devoted to the consideration of complex systems from the position of the end the 21st century. The considerable breakthrough in the understanding of complex systems is comprehensively analyzed. Such a breakthrough is connected with the use of the newest methods of nonlinear dynamics, of organization of the modern computational experiments. The book ...
Added: November 10, 2013
Knyazeva H., Курдюмов С. П., М. : КомКнига, 2005
Main concepts and models of the modern theory of self-organization of complex systems, called also synergetics, are generalized and formulated in the book as principles of a synergetic world view. They are under discussion in the context of philosophical studies of holism, teleology, evolutionism as well as of gestalt-psychology; they are compared with some images ...
Added: November 10, 2013
Knyazeva H., В кн. : Рефлексивные процессы и управление. Сборник материалов XII Международного научно-практического междисциплинарного симпозиума «Рефлексивные процессы и управление». : М. : Когито-центр, 2019. Гл. 17. С. 85-89.
The concept of Umwelt introduced by J. von Uexküll is important not only for biosemiotics, but also for the development of cybernetics, general system theory, and management theory. Umwelt is not just an environment of a living organism, but also a certain cut of reality, a subjective world of perception and action of the organism. ...
Added: December 1, 2019
Соколов А. П., Прохоренкова Л. А., Интеллектуальные системы. Теория и приложения 2023 Т. 27 № 1 С. 18-23
Решающие деревья широко применяются в машинном обуче
нии, статистике и анализе данных. Предиктивные модели, осно
ванные на решающих деревьях, показывают отличные результаты
в терминах точности и времени обучения, особенно на гетерогенных
табличных датасетах. Производительность, простота и надежность
делают это семейство алгоритмов одним из наиболее популярных
в машинном обучении и науке о данных.
Одним из важных гиперпараметров алгоритмов, основанных на
решающих деревьях, является максимальная ...
Added: February 11, 2024
Kitov V. V., Экономика, статистика и информатика. Вестник УМО 2016 № 4 С. 22-26
Gradient boosting method with random rotations is considered, where before training each base learner random rotation is applied to the feature space. The accuracy metric of the given method is estimated for a broad range of generated problems of binary classification. Obtained results are evaluated and recommendations given for application of this method. ...
Added: August 23, 2016
Krylov V., Krylov S., Journal of Physics: Conference Series 2018 Т. 1117 № conference 1
Reservoir Computing (RC) is taking attention of neural networks structures developers because of machine learning algorithms are simple at the high level of generalization of the models. The approaches are numerous. RC can be applied to different architectures including recurrent neural networks with irregular connections that are called Echo State Networks (ESN). However, the existence ...
Added: November 15, 2018
Suvorova A., Смирнова К. Р., Будин Е. А. et al., Компьютерные инструменты в образовании 2018 № 3 С. 49-64
The article describes a student research project on predicting the class of a post on a social network based on its textual content. The features of the project are discussed as an integral part of the trajectory of teaching data analysis methods, including text analysis methods and tools that are often not included in machine ...
Added: January 28, 2019
Sabatkoev T., Sultanov R., Логистика и управление цепями поставок 2012 № 2 (49) С. 25-32
At this article we describe the benefits from integration not just within one supply chain, but within a net of different supply chains around the world. Today, there is no single methodological approach to integration with companies from different supply chains. However, with thoughtful approach to information management all potential risks from integration ...
Added: May 30, 2012
Aksiotis V., Kharitonova A., Видяйкина А. А. et al., В кн. : Материалы Международного молодежного научного форума «ЛОМОНОСОВ-2022». : М. : МАКС Пресс, 2022. С. 1-2.
Numerous modern studies are aimed at creating a tool that is effective in classifying and recognizing emotions and their facial expressions based on electromyography (EMG). Technological developments in the field of virtual reality are underway to optimize human-computer interaction. Based on the results of changes in the electrical activity of the muscles, a judgment is ...
Added: October 26, 2022
Knyazeva H., Рыжов В. А., Kharlamov A. A., Сложные системы 2018 Т. 26 № 1 С. 4-36
The problems of constructing a world model of a human and of the reconciliation of meanings among members of a small social group in the process of their communication and joint activity are considered in the article from the system-theoretical, neurophysiological, social-psychological and communicative-activity points of view. The key point is how the coherence of ...
Added: June 2, 2018
Emmanuel I. C., Mitrofanova E., / Cornell Tech. Series 4064475 "ArXiv Preprint". 2022.
The paper is devoted to the study of the model fairness and process fairness of the Russian demographic dataset by making predictions of divorce of the 1st marriage, religiosity, 1st employment and completion of education. Our goal was to make classifiers more equitable by reducing their reliance on sensitive features while increasing or at least ...
Added: May 31, 2022
CEUR Workshop Proceedings, 2019
Workshop concentrates on an interdisciplinary approach to modelling human behavior incorporating data mining and expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments will be compared with noisy industrial datasets from the web e.g. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to ...
Added: October 18, 2019
Ломотин К. Е., Козлова Е. С., Колесниченко А. Л. et al., В кн. : Инновационные, информационные и коммуникационные технологии: сборник трудов XIII Международной научно-практической конференции. : М. : Ассоциация выпускников и сотрудников ВВИА им. проф. Жуковского, 2016. С. 92-95.
In the article an efficiency of the modern classification instruments usage for the task of scientific articles texts rubrication according to the UDC classifier is analyzed. The following means are explored: artificial neural networks, cosine similarity, naive Bayesian classifier, decision trees and random forest. ...
Added: October 29, 2016
Елисеев Д. А., Romanov D. A., Открытые системы. СУБД 2018 № 2 С. 42-44
В сфере госзакупок обращаются огромные денежные средства, и сегодня прикладываются большие усилия для обеспечения мониторинга процесса выполнения контракта — своевременное управление рисками может позволить сэкономить миллиарды рублей. Точная модель автоматизированной оценки рискованности государственных контрактов, построенная на базе алгоритмов машинного обучения, может помочь повысить эффективность государственных закупок. ...
Added: December 19, 2018