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CLA 2018: The 14th International Conference on Concept Lattices and Their Applications
CEUR Workshop Proceedings, 2018.
Махалова Т. П., Napoli A., Кузнецов С. О., , in : CLA 2018: The 14th International Conference on Concept Lattices and Their Applications. : CEUR Workshop Proceedings, 2018.
Добавлено: 25 ноября 2018 г.
Язык:
английский
Ключевые слова: Formal Concept Analysis
Пульманс Й., Кузнецов С. О., Игнатов Д. И. и др., Expert Systems with Applications 2013 Vol. 40 No. 16 P. 6601-6623
This is the first part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003 and 2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing ...
Добавлено: 3 октября 2013 г.
Кузнецов С. О., Махалова Т. П., , in : CLA 2016: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings. Vol. 1624.: M. : Higher School of Economics, National Research University, 2016. P. 245-253.
Добавлено: 11 октября 2016 г.
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, ...
Добавлено: 6 октября 2016 г.
Кузнецов С. О., Poelman J., Elzinga P. и др., 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 ...
Добавлено: 7 февраля 2013 г.
Пульманс Й., Игнатов Д. И., Виене С. и др., , in : Advances in Data Mining. Applications and Theoretical Aspects. 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20, 2012. Proceedings. Vol. 7377.: Berlin, Heidelberg : Springer, 2012. P. 273-287.
Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing ...
Добавлено: 3 декабря 2012 г.
CEUR-WS.org, 2020
Добавлено: 30 октября 2020 г.
Игнатов Д. И., Каминская А. Ю., Malioukov A. и др., , in : Proceedings of International Conference on Conceptual Structures 2014. Vol. 8577: Graph-Based Representation and Reasoning.: Springer, 2014. P. 287-292.
Добавлено: 9 июня 2014 г.
Бабин М. А., Кузнецов С. О., Theoretical Computer Science 2017 Vol. Volume 658, Part B No. 7 January P. 316-326
Dualization of a monotone Boolean function on a finite lattice can be represented by transforming the set of its minimal 1 values to the set of its maximal 0 values. In this paper we consider finite lattices given by ordered sets of their meet and join irreducibles (i.e., as a concept lattice of a formal ...
Добавлено: 9 февраля 2017 г.
Объедков С. А., Lecture Notes in Computer Science 2012 Vol. 7278 P. 227-243
In this paper, we consider two types of preferences from preference logic and propose their interpretation in terms of formal concept analysis. We are concerned only with preferences between sets of attributes, or, viewed logically, between conjunctions of atomic formulas. We provide inference systems for the two types of preferences and study their relation to ...
Добавлено: 28 января 2013 г.
CEUR-WS.org, 2017
Добавлено: 4 октября 2017 г.
Бочаров А. А., Гнатышак Д. В., Игнатов Д. И. и др., , in : CLA 2016: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings. Vol. 1624.: M. : Higher School of Economics, National Research University, 2016. P. 45-56.
Добавлено: 24 октября 2016 г.
Масютин А. А., Кашницкий Ю. С., , in : Foundations of Intelligent Systems. : Warsz. : Springer, 2017. P. 664-673.
The cornerstone of retail banking risk management is the estimation of the expected losses when granting a loan to the borrower. The key driver for loss estimation is probability of default (PD) of the borrower. Assessing PD lies in the area of classification problem. In this paper we apply FCA query-based classification techniques to Kaggle ...
Добавлено: 6 июля 2017 г.
Егурнов Д. А., Игнатов Д. И., Automation and Remote Control 2022 Vol. 83 No. 6 P. 894-902
Добавлено: 1 ноября 2022 г.
Игнатов Д. И., Каминская А. Ю., Беззубцева А. А. и др., В кн. : Анализ изображений, сетей и текстов. Доклады всероссийской научной конференции АИСТ'12. Модели, алгоритмы и инструменты анализа данных; результаты и возможности для анализа изображений, сетей и текстов. Екатеринбург, 16 – 18 марта 2012 года. Вып. 1.: М. : Национальный открытый университет «ИНТУИТ», 2012. С. 16-26.
В работе описывается система анализа данных кол
лаборативной платформы компании Witology. Проект находится
в состоянии разработки, поэтому в статье отражены в основном
методологические аспекты и результаты первых экспериментов.
В основу системы положен ряд моделей и методов современного
анализа объектно-признаковых и неструктурированных данных
(текстов), таких как Анализ Формальных Понятий, мультимо
дальная кластеризация, поиск ассоциативных правил и извлече
ние ключевых словосочетаний и слов из текстов. ...
Добавлено: 30 января 2013 г.
Игнатов Д. И., Khvorykh G., Khrunin A. и др., , 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.
Добавлено: 1 ноября 2022 г.
Springer, 2015
This book constitutes the refereed proceedings of the 13th International Conference on Formal Concept Analysis, ICFCA 2015, held in Neja, Spain, in June 2015. The 16 revised full papers presented were carefully reviewed and selected from 38 submissions. The topics in this volume cover theoretical aspects of FCA; methods and applications of FCA to different ...
Добавлено: 10 сентября 2015 г.
Springer, 2014
Добавлено: 9 июня 2014 г.
Игнатов Д. И., Гнатышак Д. В., Sergei O. Kuznetsov и др., Machine Learning 2015 Vol. 101 No. 1 P. 271-302
This paper presents several definitions of “optimal patterns” in triadic data and results of experimental comparison of five triclustering algorithms on real-world and synthetic datasets. The evaluation is carried over such criteria as resource efficiency, noise tolerance and quality scores involving cardinality, density, coverage, and diversity of the patterns. An ideal triadic pattern is a totally dense ...
Добавлено: 15 апреля 2015 г.
Игнатов Д. И., Каминская А. Ю., Konstantinova N. и др., , in : Proceedings of The 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2014, 11-14 August 2014 Warsaw, Poland. : Los Alamitos, Washington, Tokyo : IEEE Computer Society, 2014. P. 327-335.
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Добавлено: 9 июня 2014 г.
Кашницкий Ю. С., , in : Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016. Vol. 1710.: Aachen : CEUR Workshop Proceedings, 2016. Ch. 8. P. 73-84.
In this paper, we address machine learning classification problem and classify each test instance with a set of interpretable and accurate rules. We resort to the idea of lazy classification and mathematical apparatus of formal concept analysis to develop an abstract framework for this task.
In a set of benchmarking experiments, we compare the proposed ...
Добавлено: 6 октября 2016 г.
Кашницкий Ю. С., Кузнецов С. О., , 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 ...
Добавлено: 6 октября 2016 г.
Пульманс Й., Игнатов Д. И., Кузнецов С. О. и др., Expert Systems with Applications 2013 Vol. 40 No. 16 P. 6538-6560
This is the second part of a large survey paper in which we analyze recent literature on Formal Concept Analysis (FCA) and some closely related disciplines using FCA. We collected 1072 papers published between 2003 and 2011 mentioning terms related to Formal Concept Analysis in the title, abstract and keywords. We developed a knowledge browsing ...
Добавлено: 3 октября 2013 г.
Игнатов Д. И., Ненова Е. Н., Константинов А. В. и др., , in : Artificial Intelligence: Methodology, Systems, and Applications 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014. Proceedings. Vol. 8722.: Dordrecht, L., Cham, Heidelberg, NY : Springer, 2014. P. 47-58.
Добавлено: 20 октября 2014 г.
Игнатов Д. И., Каминская А. Ю., Беззубцева А. А. и др., , in : Перспективные направления исследований в области бизнес-информатики: Материалы XI международной конференции. : Nizhny Novgorod : Higher School of Economics in Nizhny Novgorod, 2012. P. 7-17.
In a crowdsourcing project several participants discuss and solve one common problem, propose their ideas, evaluate ideas of each other, etc. We propose the novel instrument CrowDM for analyzing data generated by collaborative platforms. The initial version of the system combines several innovative techniques for structured and unstructured data analysis. Formal Concept Analysis, multimodal clustering ...
Добавлено: 3 декабря 2012 г.