?
Mining convex polygon patterns with formal Concept Analysis
P. 1425-1432.
Pattern mining is an important task in AI for eliciting hypotheses from the data. When it comes to spatial data, the geo-coordinates are often considered independently as two different attributes. Consequently, rectangular shapes are searched for. Such an arbitrary form is not able to capture interesting regions in general. We thus introduce convex polygons, a good trade-off between expressiv-ity and algorithmic complexity. Our contribution is threefold: (i) We formally introduce such patterns in Formal Concept Analysis (FCA), (ii) we give all the basic bricks for mining convex polygons with exhaustive search and pattern sampling, and (iii) we design several algorithms, which we compare experimentally.
Publication based on the results of:
In book
Melbourne : International Joint Conferences on Artificial Intelligence, 2017
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
Muratova A., , 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
Gizdatullin D., Ignatov D. I., Muratova A. et al., В кн. : Тезисы докладов 11-й конференции Интеллектуализация обработки информации. : М. : Торус Пресс, 2016. С. 28-29.
his paper presents the first results of studies in application of sequence-based pattern structures and emerging patterns to analysis of demographic sequences in Russia. This study is performed on data of 11 generations from 1930 till 1984 for the panel of three waves of the Russian part of Generation and Gender Survey, which took place ...
Added: November 12, 2016
University Rennes 1, 2017
This volume is the supplementary volume of the 14th International Conference on Formal Concept Analysis (ICFCA 2017), held from June 13th to 16th 2017, at IRISA, Rennes. The ICFCA conference series is one of the major venues for researches from the field of Formal Concept Analysis and related areas to present and discuss their recent ...
Added: June 19, 2017
М. : Торус Пресс, 2016
This proceedings contains the abstracts of papers accepted to IDP-11 ...
Added: November 12, 2016
IEEE, 2018
The Fifth HCT Information Technology Trends (ITT 2018) is a major international research conference for the presentation of innovative ideas, approaches, technologies, research findings and outcomes, best practices and case studies, national and international projects, institutional standards and policies on Emerging Technologies for Artificial Intelligence. ITT 2018 will provide an outstanding forum for researchers, practitioners, ...
Added: February 28, 2019
New Orleans : IEEE, 2017
Added: September 26, 2017
Polyakov E. V., Поляков С. В., В кн. : Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского. : М. : МИЭМ НИУ ВШЭ, 2019. С. 77-78.
In this paper, research and development of a method for clustering social network users into groups is carried out, based on the description of the films. ...
Added: May 26, 2019
Naidenova X., Ignatov D. I., Hershey : IGI Global, 2012
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users’ requirements and the quality of solving targeted problems in domain applications.
Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and ...
Added: December 3, 2012
V.Belavin, A.Filatov, A.Ustyuzhanin et al., Journal of Physics: Conference Series 2018 Vol. 1085 No. 4 P. 042025-1-042025-6
Traces of electro-magnetic showers in the neutrino experiments may be considered as signals of dark-matter particles. For example, SHiP experiment is going to use emulsion film detectors similar to the ones designed for OPERA experiment from dark matter search. The goal of this research is to develop an algorithm that can identify traces of electro-magnetic ...
Added: December 8, 2017
Springer, 2022
This volume constitutes refereed proceedings of the 6th International Conference on Digital Transformation and Global Society, DTGS 2021, held as a virtual event in June 2021. Due to the COVID-19 pandemic the conference was held online.
The 34 revised full papers and 4 short papers presented in the volume were carefully reviewed and selected from 95 submissions. ...
Added: January 27, 2022
Semenov A., Natekin A., Nikolenko S. I. et al., , in : Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers. Vol. 542: Series: Communications in Computer and Information Science.: Switzerland : Springer, 2015. Ch. 3. P. 24-35.
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 ...
Added: October 28, 2015
Krasavina A., В кн. : Труды международной научно-практической конференции "International Scientific – Practical Conference" INNOVATIVE INFORMATION TECHNOLOGIES", Prague, 2013, April 22-26. Т. 3.: М. : МИЭМ НИУ ВШЭ, 2013. С. 134-138.
In this paper some of the task assignment methods and approaches are examined. The analysis of the algorithms considered is showing their strengths and weaknesses. Also, the ways of further research are presented, which aims to develop a methodology for task assignment in project management area. ...
Added: June 14, 2013
Dordrecht, L., Heidelberg, NY, Cham : Springer, 2015
The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include ...
Added: October 23, 2015
Kryszkiewicz M., Slezak D., Skowron A. et al., Warsz. : Springer, 2017
his 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 ...
Added: July 6, 2017
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
Springer, 2021
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
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
Buzmakov A. V., Egho E., Jay N. et al., International Journal of General Systems 2016 Vol. 45 No. 2 P. 135-159
Nowadays data-sets are available in very complex and heterogeneous ways. Mining of such data collections is essential to support many real-world applications ranging from healthcare to marketing. In this work, we focus on the analysis of “complex” sequential data by means of interesting sequential patterns. We approach the problem using the elegant mathematical framework of ...
Added: February 25, 2016
Nikitina V., Panfilov Peter, , in : Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic Developments. Issue 53.: Springer, 2022. Ch. 13. P. 173-185.
Added: April 22, 2022
Mikheyenkova M., Druzhinina E., 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
Bezzubtseva A. A., Ignatov D. I., , in : 2013 IEEE 13th International Conference on Data Mining Workshops. : Los Alamitos : IEEE Computer Society, 2013. P. 426-432.
This paper presents a preliminary analysis of hotel room prices in several European cities based on the data from Booking.com website. The main question raised in the study is whether early booking is advantageous indeed, and if so, how early should it be? First a script was developed to download more than 600 thousand hotel ...
Added: June 9, 2014
Kuznetsov V. O., Логистика и управление цепями поставок 2018 № 4 (87) С. 27-33
One of the options for a more flexible approach to analyzing the reliability of supply chains is the principal component analysis (PCA). With a large number of variables describing supply chain, it is a difficult task to analyze the structure of variables in two-dimensional space. Within the analysis of the variables dependencies PCA allows to ...
Added: November 29, 2018
Mikheyenkova M., 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