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Research of Correlation Dependencies in Russian Household Data Using Data Mining Methods
P. 151–161.
In book
Issue 53. , Springer, 2022.
Kulakova T., Моисеева М. А., Shulika Y. et al., В кн.: Наука, образование, транспорт: актуальные вопросы, приоритеты, векторы взаимодействия: III Международ. науч.-методич. конф. 06-07 ноября 2024 г. Оренбург.: Оренбург: ОрИПС – филиал ПривГУПС, 2024. С. 570–573.
The study analyzes the factors that influence car ownership levels in Russian households, using data from the Russian Longitudinal Monitoring survey, RLMS-HSE, conducted by National Research University "Higher School of Economics" in 2022. A logistic regression model is applied. Key factors affecting car ownership in Russian households include: income, dacha availability, the number of working-age ...
Added: December 17, 2024
Cham: Springer, 2024.
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. ...
Added: November 22, 2024
Dorofeeva Z., Kozyreva P. M., Вестник Института социологии 2024 Т. 15 № 2 С. 115–131
Using data from the 30th wave of the “The Russia Longitudinal Monitoring Survey – Higher School of Economics (RLMS-HSE”, the involvement of modern parents in raising children is analysed. Involvement practices are presented in the form of a construct that includes: preparing lessons, attending parent-teacher meetings, reading, playing sports, visiting a doctor, spending vacations, creative ...
Added: July 12, 2024
Shanghai: IEEE Computer Society, 2023.
The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, ...
Added: March 20, 2024
D'yakonov A., Головина А. М., Прикладная математика и информатика 2023 Т. 61 № 74 С. 91–108
A methodology for finding patterns by solving machine learning problems with a teacher is described and applied to the analysis of national victimization survey data. Important features for machine learning models, interesting patterns and inconsistencies in the data are found. Experiments on estimating feature importance using different methods are described. ...
Added: March 18, 2024
Анташева М. С., Lobanova P., Isaeva J. K. et al., Социология: методология, методы, математическое моделирование 2023 № 57 С. 7–41
The information agenda broadcast by Chinese media resources is a source of up-to-date data on public opinion on key issues of social welfare. Due to the technical peculiarities of the organization of Chinese websites and the need to attract additional resources for automatic processing (parsing) of texts in Chinese, this topic is not widely represented in domestic and foreign studies. The ...
Added: November 9, 2023
Springer, 2023.
This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with ...
Added: August 31, 2023
Springer, 2023.
This book constitutes the extended and revised versions of a set of selected papers from the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2021, on October 25–27, 2021. The conference was held virtually due to the COVID-19 crisis.
The 9 full papers included in this book were carefully reviewed and ...
Added: July 8, 2023
Золотухина М. А., Zykov S. V., Вестник Российского нового университета 2023 № 1 С. 20–28
Зачастую именно человеческий фактор ведет к распространению угроз на предприятиях. Если техническое устройство представляет собой четко работающий и слаженный механизм с возможностью при помощи диагностического оборудования проводить замеры параметров неисправностей и устранять их, то для исследования скрытых атак необходим новый компонент системы. Предприятия и промышленность в целом нуждаются в интеллектуальной системе защиты и обнаружения скрытых ...
Added: April 11, 2023
Pishnyak A., Khalina N., Nazarbaeva E., Journal of Economic Sociology 2023 Vol. 24 No. 2 P. 181–202
The middle class is usually perceived as a main supporter of innovations, source of political stability, and core consumer of goods and services. As a result, its members are traditionally supposed to have high human potential and make a significant contribution to economic growth both in certain country and all over the world, which permanently ...
Added: April 3, 2023
Springer, 2023.
This book constitutes the proceedings of Third International Conference on Information Systems and Design, ICID 2022, which took place in Tashkent, Uzbekistan, in September 2022.
The 12 papers presented in this volume were carefully reviewed and selected from 35 submissions. They were organized in topical sections as follows: methodological support of analysis and management tools: theoretical-focused ...
Added: March 31, 2023
Ignatov D. I., Khvorykh G., Khrunin A. et al., , in: Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary ProceedingsVol. 12602.: Springer, 2021. P. 185–204.
© 2021, Springer Nature Switzerland AG.Missing genotypes can affect the efficacy of machine learning approaches to identify the risk genetic variants of common diseases and traits. The problem occurs when genotypic data are collected from different experiments with different DNA microarrays, each being characterised by its pattern of uncalled (missing) genotypes. This can prevent the ...
Added: November 1, 2022
Egurnov D., Точилкин Д. С., Ignatov D. I., , in: Complex Data Analytics with Formal Concept Analysis.: Springer, 2022. P. 239–258.
In this paper, we describe versions of triclustering algorithms adapted for efficient calculations in distributed environments with MapReduce model or parallelisation mechanism provided by modern programming languages. OAC-family of triclustering algorithms shows good parallelisation capabilities due to the independent processing of triples of a triadic formal context. We provide time and space complexity of the ...
Added: November 1, 2022
Muratova A., Ignatov D. I., Mitrofanova E., , in: Recent Trends in Analysis of Images, Social Networks and Texts. 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020 Revised Supplementary ProceedingsVol. 12602.: Springer, 2021. P. 297–299.
This is the extended abstract of a case study on demographic sequences analysis by machine learning and data mining methods. ...
Added: November 1, 2022
Springer, 2022.
This book constitutes revised selected papers of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, in December 2021. Due to the COVID-19 pandemic the conference was held in hybrid mode.
The 17 full papers were carefully reviewed and selected from 118 submissions, out of which 92 ...
Added: October 31, 2022
Shadrina E. V., Вестник Нижегородского университета им. Н.И. Лобачевского. Серия: Социальные науки 2022 № 3(67) С. 229–236
The article discusses the influence of temperament on the academic performance of the first-year students at HSENizhny Novgorod on the example of the Faculty of Informatics, Mathematics and Computer Science. Analysis was held with the help of statistics methods and methods of data mining. The baseline data for the study is information about students, collected ...
Added: October 18, 2022
Springer, 2022.
This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022.
The 40 full papers and 40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 ...
Added: July 28, 2022
Anton Markov, Zinaida Seleznyova, Victor Lapshin, Journal of Finance and Data Science 2022 Vol. 8 P. 180–201
Credit risk is the most significant risk by impact for any bank and financial institution.
Accurate credit risk assessment affects an organisation’s balance sheet and income
statement, since credit risk strategy determines pricing, and might even influence
seemingly unrelated domains, e.g. marketing, and decision-making. This article aims at
providing a systemic review of the most recent (2016–2021) articles, identifying ...
Added: July 28, 2022
Nikitina V., Panfilov Peter, , in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic DevelopmentsIssue 53.: Springer, 2022. Ch. 13 P. 173–185.
Added: April 22, 2022
IEEE Computer Society, 2021.
The 21th IEEE International Conference on Data Mining (IEEE ICDM 2021) is a premier and
truly international conference for researchers and practitioners in the broad area of data mining.
The ICDM Workshops program (IEEE ICDMW) aims to provide a platform for multiple
workshops with a range of more focused topics to be discussed and explored, where attendees can
present ...
Added: February 4, 2022
Zazdravnykh E., Aistov A., Aleksandrova E., Russian Journal of Economics 2021 Vol. 7 No. 4 P. 326–353
In this study we estimate the income elasticity of spending on different healthcare services and medication in Russia, taking into account the non-linear relationship between income level and expenditure. We employ the RLMS-HSE data, 2006–2017, to estimate the elasticities at household level. Our findings show these elasticities have not changed over the years. Additionally, we ...
Added: January 31, 2022