Research of Correlation Dependencies in Russian Household Data Using Data Mining Methods
Usachev V., Brus V., Voronova L., Tarasenko E. A.
Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic Developments
Issue 53. , Springer, 2022
Analysis of Images, Social Networks and Texts Third International Conference, AIST 2014, Yekaterinburg, Russia, April 10-12, 2014, Revised Selected Papers
Berlin: Springer, 2014
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and ...
Added: November 13, 2014
Data Analytics and Management in Data Intensive Domains 22st International Conference, DAMDID/RCDL 2021
“Data Analytics and Management in Data Intensive Domains” conference (DAMDID) is planned as a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, ...
Added: August 30, 2021
, , 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
Proceedings of the 7th Spring/Summer Young Researchers’ Colloquium on Software Engineering, SYRCoSE 2013
Kazan: -, 2013
The issue contains the papers presented at the 7th Spring/Summer Young Researchers' Соllоquium оn Software Engineering (SYRCoSE 2013) held in Kazan, Russia on 30th and З1st оf Мay, 2013. Paper selection was based on a competitive peer review process being done by the program committee. Both regular and reseаrсh-in-рrogrеss papers were соnsidered ассeрtable for the ...
Added: June 8, 2013
, , , , in: Supplementary Proceedings ICFCA 2019 Conference and Workshops. Vol. 2378.: CEUR Workshop Proceedings, 2019.. P. 137-151.
This paper presents further development of distributed multimodal clustering. We introduce a new version of multimodal clustering algorithm for distributed processing in Apache Hadoop on computer clusters. Its implementation allows a user to conduct clustering on data with modality greater than two. We provide time and space complexity of the algorithm and justify its relevance. ...
Added: October 31, 2019
The State and Perspective of Russian Studies in Artificial Intelligence (Based on the Proceedings of the 13th Russian Conference on Artificial Intelligence with International Participation)
, , Automatic Documentation and Mathematical Linguistics 2013 Vol. 47 No. 1 P. 36-43
The main directions of research in the field of artificial intelligence are presented on the basis of the Proceedings of the 13th Russian Conference on Artificial Intelligence with International Participation. ...
Added: September 28, 2013
, , 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
, , , , 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
Added: October 18, 2021
Heidelberg: Springer, 2013
This paper comprises papers accepted for presentation at the 14th Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (RSFDGRC) International Conference which was held as a major part of Joint Rough Set Symposium (JRS 2013) held at Halifax Canada during October 11-14, 2013. ...
Added: October 29, 2013
Assessment of Dendritic Cell Therapy Effectiveness Based on the Feature Extraction from Scientific Publications
, , et al., , in: Proceedings of ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods. Vol. 2.: SciTePress, 2015.. P. 270-276.
Dendritic cells (DCs) vaccination is a promising way to contend cancer metastases especially in the case of immunogenic tumors. Unfortunately, it is only rarely possible to achieve a satisfactory clinical outcome in the majority of patients treated with a particular DC vaccine. Apparently, DC vaccination can be successful with certain combinations of features of the ...
Added: November 20, 2015
, , , , in: The 21st Conference on Formal Grammar. .: Springer, 2016.. P. 240-256.
Morrill and Valent´ın in the paper “Computational coverage of TLG: Nonlinearity” considered an extension of the Lambek calculus enriched by a so-called “exponential” modality. This modality behaves in the “relevant” style, that is, it allows contraction and permutation, but not weakening. Morrill and Valent´ın stated an open problem whether this system is decidable. Here we ...
Added: June 28, 2016
This book constitutes the proceedings of the 19th Russian Conference on Artificial Intelligence, RCAI 2021, held in Moscow, Russia, in October 2021. The 19 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 80 submissions. The conference deals with a wide range of topics, categorized into the following topical ...
Added: October 28, 2021
, , , , in: 6th International Conference on Information Technology and Quantitative Management. Issue 139: 6th International Conference on Information Technology and Quantitative Management.: United States of America: Editions Elsevier, 2018.. P. 17-24.
The main goal of this paper is to study interconnections between credit ratings and financial indicators of industrial companies from BRICS countries. We use method of patterns, one of the modern methods of nonlinear modeling, to identify groups of heterogeneous objects with different influence on ratings. Additionally, in this research, we evaluate Tobit regression model ...
Added: November 15, 2019
, Automatic Documentation and Mathematical Linguistics 2011 Vol. 45 No. 4 P. 180-201
The process of development of approaches to the qualitative analysis of sociological data from a qualitative analysis of the use of computer tools is reviewed in this paper. Its development means a transfer from simple computer processing of data to modern intelligent data analysis ...
Added: September 28, 2013
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
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
Метод анализа многомерных временных рядов с использованием корректировки предварительно рассчитанной обратной матрицы: исследование в сравнении с другими методами Data Mining
, Бизнес-информатика 2008 № 1 С. 36-44
В ходе анализа многомерных временных рядов применение традиционных статистических методов определяется соблюдением достаточно строгих предпосылок, позволяющих использовать лежащий в основе этих методов МНК. К ним относятся: отсутствие мультиколлинеарности, гетероскедастичности и автокорреляции. В задачах экономического анализа и многомерного прогнозирования с целью уменьшения числа рассматриваемых переменных и быстрого получения приблизительных закономерностей целесообразно прибегнуть к методам интеллектуального анализа ...
Added: September 28, 2012
, , , 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
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and ...
Added: September 30, 2014
, , et al., , in: Proceedings of International Conference on Conceptual Structures 2014. Vol. 8577: Graph-Based Representation and Reasoning.: Springer, 2014.. P. 287-292.
This paper considers a recommender part of the data anal- ysis system for the collaborative platform Witology. It was developed by the joint research team of the National Research University Higher School of Economics and the Witology company. This recommender sys- tem is able to recommend ideas, like-minded users and antagonists at the respective phases ...
Added: June 9, 2014
, Журнал формирующихся направлений науки 2015 Т. 3 № 7
The article presents selected excerpts of the debate, which the doctor of philosophical Sciences, Professor of Moscow state University Yu. Yu. Petrunin. ...
Added: February 23, 2016
The use of intelligent technologies of Business Intelligence Platforms and Data Science and Machine Learning Platforms for monitoring the socio-economic indicators of the administrative districts of Moscow
, , in: 1st International Conference on Innovative Informational and Engineering Technologies (IIET-2020) 28-29 May 2020, Stavropol, Russian Federation. Vol. 873.: Bristol: IOP Publishing, 2020.. P. 012015.
The article discusses the possibilities of studying the state of the social sphere according to the repository of the Moscow Government open data portal by administrative districts and city districts using Business Intelligence Platforms and Data Science and Machine Learning Platforms intellectual technologies. Opportunities are presented for using machine learning technologies for business analytics platforms ...
Added: January 26, 2021