Machine learning methods for demographic data analysis
Muratova A., Ignatov D. I., Mitrofanova E.
© Springer Nature Switzerland AG 2021.This is the extended abstract of a case study on demographic sequences analysis by machine learning and data mining methods.
, , , , in : Proceedings of the Fourth Workshop on Experimental Economics and Machine Learning (EEML 2017), Dresden, Germany, September 17-18, 2017. Vol. 1968.: Aachen : CEUR Workshop Proceedings, 2017. P. 31-40.
Nowadays there is a large amount of demographic data which should be analysed and interpreted. From accumulated demographic data, more useful information can be extracted by applying modern methods of data mining. The aim of this study is to compare the methods of classification of demographic data by customizing the SVM kernels using various similarity ...
Added: December 9, 2017
, , 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
Использование метрических признаков в решающих деревьях на примере задачи классификации типов лесных массивов.
, 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
This book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining ...
Added: September 18, 2017
A decision making process application for the slurry production in ceramics via fuzzy cluster and data mining
, , Journal of Industrial and Management Optimization 2012 Vol. 8 P. 285-297
To increase productivity, companies are in search of techniques that enable them to make faster and more effective decisions. Data mining and fuzzy clustering algorithms can serve for this purpose. This paper models the decision making process of a ceramics production company using a fuzzy clustering algorithm and data mining. Factors that affect the quality ...
Added: January 9, 2013
, , , М. : МЭСИ, 2014
Материал данного учебного пособия предназначен для студентов высших учебных заведений, специализирующихся по направлениям статистика и математические методы в экономике, а также другим экономическим специальностям. Учебное пособие содержит вводный курс в основы применения искусственных нейронных сетей при построении моделей для решения задач прогнозирования и классификации. Материал содержит сведения о назначении, разработке, внедрении и сопровождении систем информационного ...
Added: September 19, 2014
, , , in : Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at ECAI 2016). : M. : [б.и.], 2016. P. 105-112.
Decision tree learning is one of the most popular classifica- tion techniques. However, by its nature it is a greedy approach to finding a classification hypothesis that optimizes some information-based crite- rion. It is very fast but may lead to finding suboptimal classification hy- potheses. Moreover, in spite of decision trees being easily interpretable, ensembles ...
Added: October 6, 2016
Are box office revenues equally unpredictable for all movies? Evidence from a Random forest-based model
, , Journal of Revenue and Pricing Management 2017 Vol. 16 No. 3 P. 295-307
In this study we develop a model for early box office receipts forecasting that, in addition to traditionally used regressors, uses several inputs that have never been used before, but appeared to be very useful predictors according to our variable importance analysis. New predictors account for the power of actors and directors, as well as ...
Added: March 15, 2018
, , et al., L. : Springer, 2013
Higher School of Economics (HSE) and supported by the Information Retrieval Specialist Group at the British Computer Society (BCS–IRSG). The conference was held during March 24–27, 2013, in Moscow, Russia – the easternmost location in the history of the ECIR series. ECIR 2013 received a total of 287 submissions in three categories: 191 full papers, ...
Added: April 15, 2013
Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains
, , in : WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining. : Association for Computing Machinery (ACM), 2021. P. 1113-1114.
There is a diverse variety of demographic data that can be analyzed with modern methods of data mining to achieve better results. On the one hand, the main chosen task is to compare different methods for the next event prediction and gender prediction, on the other hand, we pay special attention to interpretable patterns describing ...
Added: June 4, 2021
Added: October 18, 2021
, , , in : Companion Proceedings 11th International Conference on Learning Analytics & Knowledge (LAK21). : [б.и.], 2021. P. 76-78.
While the exchange of cross-border students in Europe has increased significantly in recent years, a growing number of these students face obstacles in selecting courses for exchange. This poster describes the first iteration of creating a course recommendation system for exchange students to select courses that fit their preferences. We implemented a combination of embedding ...
Added: July 4, 2021
, , et al., Journal of Chemical Information and Modeling 2015 Vol. 55 No. 5 P. 925-940
This study is dedicated to the introduction of a novel method that automatically extracts potential structural alerts from a data set of molecules. These triggering structures can be further used for knowledge discovery and classification purposes. Computation of the structural alerts results from an implementation of a sophisticated workflow that integrates a graph mining tool ...
Added: September 3, 2015
, , , Качество. Инновации. Образование 2015 № 2-2015 С. 33-43
The article considers several approaches for construction of learning intelligent systems - technologies for the automated control of knowledge. The authors provide descriptions of algorithms, as wel as examples and analysis ...
Added: April 7, 2015
, , et al., Springer, 2015
In online social networks, high level features of user behavior such as character traits can be predicted with data from user profiles and their connections. Recent publications use data from online social networks to detect people with depression propensity and diagnosis. In this study, we investigate the capabilities of previously published methods and metrics applied to the Russian online social ...
Added: December 21, 2015
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data
, , 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 Proceedings. Vol. 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
, , et al., Quality and Quantity 2014 Vol. 48 No. 5 P. 2703-2718
The paper discusses several reliability measures: Scott’s pi, Krippendorff’s alpha, free marginal adjustment (Bennett, Alpert and Goldstein’s S), Cohen’s kappa, and Perreault and Leigh’s I and the assumptions on which they are based. It is suggested that correlation coefficients between, on one hand, the distribution of qualitative codes and, on the other hand, word co-occurrences ...
Added: October 21, 2014
Application of Modern Data Analysis Methods to Cluster the Clinical Pathways in Urban Medical Facilities
, , , , in : 2019 IEEE 21st Conference on Business Informatics (CBI). Vol. 1.: M. : IEEE Computer Society, 2019. P. 75-83.
Patient flow modeling in healthcare plays a large role in understanding the operation of the system and its characteristics. Besides, modeling techniques can significantly improve the effectiveness of the medical facilities. The existing level of automation in these facilities enables the accumulation of large amounts of various data. Therefore, the collected data might be considered ...
Added: September 10, 2019
Организация иерархической структуры интеллектуальной системы анализа и оценки устойчивости БЦВК к деструктивному воздействию ЭМИ
, , , Электросвязь 2012 № 8 С. 36-39
The approach to the organization of the hierarchical structure of intelligent system of analysis and evaluation of onboard digital computer system’s resist to destructive electromagnetic effects is offered. The adaptive nature of the levels of the system is determined by using the intelligent tools of fuzzy logic and neural networks for solving the tasks of ...
Added: March 17, 2014
Formal Concept Analysis: 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 – July 2, 2021, Proceedings
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
, , et al., , in : Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures. Vol. 7735: Conceptual Structures for STEM Research and Education, 20th International Conference on Conceptual Structures.: Berlin, Heidelberg : Springer, 2013. P. 173-192.
This paper considers a data analysis system for collaborative platforms which was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. Our focus is on describing the methodology and results of the first experiments. The developed system is based on several modern models and methods ...
Added: October 10, 2013
, , Управление финансовыми рисками 2017 № 3(51) С. 166-189
The purpose of this research is to develop a mechanism for forecasting foreign ex-change movements based on a combination of fundamental and technical approaches taking into account the speculative constituent in the pricing of a currency on the inter-national capital market. The significance of the work lies in the expansion of the practi-cal and theoretical ...
Added: December 27, 2017
, , , , in : Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings. * 2. Vol. 9285.: Dordrecht, L., Cham, Heidelberg, NY : Springer, 2015. P. 157-172.
In pattern mining, the main challenge is the exponential explosion of the set of patterns. Typically, to solve this problem, a constraint for pattern selection is introduced. One of the first constraints proposed in pattern mining is support (frequency) of a pattern in a dataset. Frequency is an anti-monotonic function, i.e., given an infrequent pattern, ...
Added: October 22, 2015
, , Вестник Ижевского государственного технического университета 2015 № 2(66) С. 110-112
This paper describes the results of testing the neuronal technical trend indicator according to the exchange rate of Brent oil in 2014. Testing of the model was carried out on three time series, which characterized by their features. ...
Added: August 31, 2015