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Decision Concept Lattice vs. Decision Trees and Random Forests
Ch. 16. P. 252-260.
Daniel Alexandrov, Viktor Karepin, Ilya Musabirov, , in : WebSci '16: Proceedings of the 8th ACM Conference on Web Science. : NY : ACM, 2016. P. 309-311.
This paper presents the results of our study of educational migration flows between Russian Federation and China. Using data from the most popular among Russian-speakers Social Networking Site VK, we explore "digital footprints" of migration, analyzing the factors influencing the size of migration flows from different Russian cities to China. We take into account different ...
Added: May 22, 2016
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
Stolbov M., Shchepeleva M., Risks 2022 Vol. 10 No. 12
This paper seeks to identify the most important global drivers of credit-to-GDP gaps for 35 countries. The analysis is performed on a country-by-country basis for the sub-periods 2000Q1:2007Q2, 2007Q3:2013Q4, and 2014Q1:2021Q1 and is based on two state-of-the-art methods for variable selection in the time series framework: the one covariate at a time multiple testing (OCMT) ...
Added: January 5, 2023
Ignatov D. I., Watson B., , in : RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South Africa. Vol. 1552.: Aachen : CEUR Workshop Proceedings, 2015.
Being an unsupervised machine learning and data mining technique, biclustering and its multimodal extensions are becoming popular tools for analysing object-attribute data in different domains. Apart from conventional clustering techniques, biclustering is searching for homogeneous groups of objects while keeping their common description, e.g., in binary setting, their shared attributes. In bioinformatics, biclustering is used ...
Added: June 14, 2016
Zhuchkova S., Rotmistrov A., Quality and Quantity 2022 Vol. 56 No. 1 P. 1-22
The study is devoted to a comparison of three approaches to handling missing data of categorical variables: complete case analysis, multiple imputation (based on random forest), and the missing-indicator method. Focusing on OLS regression, we describe how the choice of the approach depends on the missingness mechanism, its proportion, and model specification. The results of ...
Added: February 20, 2021
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
M. : Higher School of Economics, National Research University, 2016
The 13th International Conference on “Concept Lattices and Applications (CLA 2016)” was held at National Research University Higher School of Economics, Moscow, Russia from July 18 until July 22, 2016. The CLA conference, organized since 2002, aims to provide to everyone interested in Formal Concept Analysis and more generally in Concept Lattices or Galois Lattices, ...
Added: October 6, 2016
Springer, 2021
This book constitutes the proceedings of the 16th International Conference on Formal Concept Analysis, ICFCA 2021, held in Strasbourg, France, in June/July 2021.
The 14 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 32 submissions. The book also contains four invited contributions in full paper length.
The research part ...
Added: July 10, 2021
Bogdanov M., Lebedev D., В кн. : Вестник Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMS‑HSE). Вып. 9.: М. : Издательский дом НИУ ВШЭ, 2019. С. 157-174.
The article explores how socio-demographic characteristics of Russian children and teenagers affect their academic performance at school. As the RLMS-HSE data for 2013–2017 shows, higher academic attainments are positively associated with gender, the level of parental education, class size, extracurricular and leisure activities. Meanwhile, the type of school, place of residence, and per capita household ...
Added: October 6, 2019
Kryszkiewicz M., Obiedkov Sergei, Ras Z., Fundamenta Informaticae 2012 Vol. 115 No. 4 P. i-ii
The paper is the preface to the special issue of the Fundamenta Informaticae journal on concept lattices and their applications. It is focused on recent developments in Formal Concept Analysis (FCA), as well as on applications in closely related areas such as data mining, information retrieval, knowledge management, data and knowledge engineering, and lattice theory. ...
Added: January 25, 2013
Korepanova N., Kuznetsov S., Karachunskiy A., , in : Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers. Vol. 439.: Berlin : Springer, 2014. P. 101-110.
Added: November 13, 2014
Kitov V. V., Вестник Российского экономического университета им. Г.В. Плеханова 2015 Т. 82 № 4 С. 148-152
Methods of classification by nature of decision-making divide on methods using global optimization (all training samples are used), and local optimization (only samples in the neighbourhood of the studied object are used). The perspective direction of research is combination of advantages of each approach in one integrated classifier. In article the method of combination of ...
Added: March 16, 2016
Suleimanova A., Социология: методология, методы, математическое моделирование 2020 Т. 0 № 50-51 С. 63-96
Decision trees are a method of classification and prediction, widely applied in sociological research. It is unchangingly popular due to its flexibility and simplicity of interpretation. Choosing the most appropriate decision tree algorithm is not an easy task for several reasons: (a) there is already over a hundred algorithms with different strengths, weaknesses and logic ...
Added: October 31, 2019
Kuznetsov S., Poelman J., Elzinga P. et al., Lecture Notes in Computer Science 2012 Vol. 7377 LNAI P. 528-272
In this paper we introduce a novel human-centered data mining software system which was designed to gain intelligence from unstructured textual data. The architecture takes its roots in several case studies which were a collaboration between the Amsterdam-Amstelland Police, GasthuisZusters Antwerpen (GZA) hospitals and KU Leuven. It is currently being implemented by bachelor and master ...
Added: February 7, 2013
Kuralenok I., Ershov V., Лабутин И. Н., , in : Advances in Neural Information Processing Systems 32 (NeurIPS 2019). : [б.и.], 2019. P. 1-10.
In this work, we introduce a new decision tree ensemble representation framework: instead of using a graph model we transform each tree into a well-known polynomial form. We apply the new representation to three tasks: theoretical analysis, model reduction, and interpretation. The polynomial form of a tree ensemble allows a straightforward interpretation of the original ...
Added: December 27, 2019
Antipov E. A., В кн. : Современные подходы к исследованию и моделированию в экономике, финансах и бизнесе: Материалы 5-й Ежегодной конференции Европейского университета в Санкт-Петербурге и Санкт-Петербургского экономико-математического института РАН. Вып. 5.: СПб. : Европейский университет в Санкт-Петербурге, 2011. С. 14-15.
С развитием автоматизированных систем прогнозирования успеха кинофильмов, актуальным представляется вопрос «В одинаковой степени предсказуемы кинофильмы из разных сегментов или нет?». Зная ответ на него, инвестор может либо обходить проблемные сегменты стороной, либо проводить более детальный анализ (в том числе качественный) кинопроектов, попадающих в проблемный сегмент. В статье между собой сравниваются такие методы классификации с обучением, ...
Added: October 4, 2012
Poptsova M., Шеин А. В., Zaikin A., , in : The proceedings of International congress «Biotechnology: state of the art and perspectives» FEBRUARY 25 - 27, 2019. : LLC “RED GROUP”, 2019. P. 356-356.
We built and evaluated two types of models: sequence-based and structure-based for recognition of 3’-end stem- loops of human L1s and Alus and found most important parameters contributing to recognition: Shift, Tilt and Rise, and aslo hydrophilicity. ...
Added: November 12, 2019
Aleksandrova M., ИНТЕРакция. ИНТЕРвью. ИНТЕРпретация 2021 Т. 13 № 2 С. 81-96
Text mining has developed rapidly in recent years. In this article, we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics ...
Added: August 20, 2021
Chernenkova T., Kotlov I., Belyaeva N. et al., Remote Sensing 2021 Vol. 13 No. 10 Article 1886
Forests with predominance of Norway spruce (Picea abies (L.) H. Karst.) and Scots pine (Pinus sylvestris L.) within the hemiboreal zone are considered as secondary communities formed under long-term human activity (logging, plowing, fires and silviculture). This study raises the question—how stable is current state of coniferous forests on the southern border of their natural distribution in ...
Added: March 20, 2022
[б.и.], 2020
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is ...
Added: October 29, 2020
Antipov E. A., Pokryshevskaya E. B., Expert Systems with Applications 2012 Vol. 39 No. 2 P. 1772-1778
To the best knowledge of authors, the use of Random forest as a potential technique for residential estate mass appraisal has been attempted for the first time. In the empirical study using data on residential apartments the method performed better than such techniques as CHAID, CART, KNN, multiple regression analysis, Artificial Neural Networks (MLP and ...
Added: October 4, 2012
Muratova A., Gizdatullin D., Ignatov D. I. et al., В кн. : Социология и общество: социальное неравенство и социальная справедливость (Екатеринбург , 19-21 октября 2016 года). Материалы V Всероссийского социологического конгресса. : М. : Российское общество социологов, 2016. С. 9601-9615.
In this paper, we summarize the results of recent studies on the application of pattern mining and machine learning to the analysis of demographic sequences. The main goal is the demonstration of demographers’ needs, including next-event prediction and the extraction of interesting patterns from substantial datasets of demographic data, which cannot be handled by conventional ...
Added: November 24, 2016
Smirnov N., Социальная психология и общество 2021 Т. 12 № 3 С. 74-86
Added: December 30, 2021
Kuznetsov S., Demko C., Bertet K. et al., , in : Electronic Procedings Theoretical Computer Science. Vol. 845.: [б.и.], 2020. P. 1-20.
In this article, we present a new data type agnostic algorithm calculating a concept lattice from heterogeneous and complex data. Our NextPriorityConcept algorithm is first introduced and proved in the binary case as an extension of Bordat's algorithm with the notion of strategies to select only some predecessors of each concept, avoiding the generation of ...
Added: October 29, 2020