Human-centered text mining: A new software system
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 students of Moscow Higher School of Economics. At the core of the system are concept lattices which can be used to interactively explore the data. They are combined with several other complementary statistical data analysis techniques such as Emergent Self Organizing Maps and Hidden Markov Models.
The CLA conference is an international forum for researchers, practitioners and students dedicated to the practice of Formal Concept Analysis (FCA) and areas closely related to it, including data analysis and mining, information retrieval, knowledge management, knowledge engineering, logic, algebra and lattice theory. The 15th of CLA, CLA 2020, was going to be held in Tallinn, Estonia ...
Added: October 30, 2020
CLA 2016: Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications. CEUR Workshop Proceedings
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
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 ...
Added: October 3, 2013
Proceedings of the Twelfth International Conference on Concept Lattices and Their Applications Clermont-Ferrand, France, October 13-16, 2015
Clermont-Ferrand: CEUR Workshop Proceedings, 2015
Formal Concept Analysis is a method of analysis of logical data based on formalization of conceptual knowledge by means of lattice theory. It has proved to be of interest to various applied fields such as data visualization, knowledge discovery and data mining, database theory, and many others. The International Conference “Concept Lattices and Their Applications ...
Added: October 22, 2015
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 ...
Added: October 3, 2013
CLA 2014: Proceedings of the Eleventh International Conference on Concept Lattices and Their Applications
Kosice: Pavol Jozef Safarik University, 2014
Formal Concept Analysis is a mathematical theory formalizing aspects of human conceptual thinking by means of lattice theory. As such, it constitutes a theoretically well-founded, practically proven, human-centered approach to data science and has been continuously contributing valuable insights, methodologies and algorithms to the scientic community. The International Conference "Concept Lattices and Their Applications (CLA)" ...
Added: October 8, 2014
CLA 2013 Proceedings of the Tenth International Conference on Concept Lattices and Their Applications
La Rochelle: Laboratory L3i, University of La Rochelle, 2013
Formal concept analysis has, for many years, laid claim to providing a formal basis for an applied lattice theory. With the many dierent formalisms and implementations, and their applications available today, this claim is stronger than ever, as witnessed by increasing amount and range of publications in the area. The International Conference "Concept Lattices and Their ...
Added: October 18, 2013
Leuven: Katholieke Universiteit Leuven, 2012
Concept discovery is a subarea of Knowledge Discovery in Databases (KDD) where concept models, such as Formal Concept Analysis (FCA), multimodal clustering, conceptual graphs and other, are used for gaining insight into the underlying conceptual structure of data. Traditional machine learning techniques are mainly focusing on structured data given by object-attribute tables, whereas most data available nowadays are given in ...
Added: March 10, 2013
, 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.
We propose a new algorithm for consensus clustering, FCA-Consensus, based on Formal Concept Analysis. As the input, the algorithm takes T partitions of a certain set of objects obtained by k-means algorithm after T runs from different initialisations. The resulting consensus partition is extracted from an antichain of the concept lattice built on a formal ...
Added: October 24, 2016
Прикладная эконометрика 2017 № 3 С. 74-99
Study of users and their segmentation, based on users’ preferred topics of discussion and their networking, is the unique opportunity offered by social networks. Variety of approaches to social media analysis based on social network analysis and text mining is summarized in the paper. It is extended by concentration index application and visualizing of the ...
Added: October 20, 2017
Труды Института системного программирования РАН 2014 Т. 26 С. 421-438
he paper presents a framework for fast text analytics developed during the Texterra project. Texterra is a technology for multilingual text mining based on novel text processing methods that exploit knowledge extracted from user-generated content. It delivers a fast scalable solution for text mining without the expensive customization. Depending on use-cases Texterra could be utilized ...
Added: November 6, 2017
Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications Tallinn, Estonia, June 29–July 1, 2020. Edited by Francisco J. Valverde-Albacete Martin Trnecka ...
Added: October 29, 2020
Breaking Sticks and Ambiguities with Adaptive Skip-gram / . 2015.
Recently proposed Skip-gram model is a powerful method for learning high-dimensional word representations that capture rich semantic relationships between words. However, Skip-gram as well as most prior work on learning word representations does not take into account word ambiguity and maintain only single representation per word. Although a number of Skip-gram modifications were proposed to ...
Added: November 5, 2015
International Journal of General Systems 2014 Vol. 43 No. 2 P. 105-134
Formal Concept Analysis (FCA) is a mathematical technique that has been extensively applied to Boolean data in knowledge discovery, information retrieval, web mining, etc. applications. During the past years, the research on extending FCA theory to cope with imprecise and incomplete information made significant progress. In this paper, we give a systematic overview of the ...
Added: June 9, 2014
, 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 ...
Added: December 3, 2012
Finite Difference Methods, Theory and Applications 6th International Conference, FDM 2014, Lozenetz, Bulgaria, June 18-23, 2014, Revised Selected Papers
Zürich: Springer, 2015
This book constitutes the thoroughly refereed conference proceedings of the 6th International Conference on Finite Difference Methods, FDM 2014, held in Lozenetz, Bulgaria, in June 2014. The 36 revised full papers were carefully reviewed and selected from 62 submissions. These papers together with 12 invited papers cover topics such as finite difference finite element methods ...
Added: March 23, 2015
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
Optimization and Applications 9th International Conference, OPTIMA 2018, Petrovac, Montenegro, October 1–5, 2018, Revised Selected Papers
Springer International Publishing, 2019
This book constitutes the refereed proceedings of the 9th International Conference on Optimization and Applications, OPTIMA 2018, held in Petrovac, Montenegro, in October 2018.The 35 revised full papers and the one short paper presented were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on mathematical programming; combinatorial and discrete optimization; optimal control; optimization in ...
Added: January 14, 2019
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
Российская экономическая академия имени Г.В.Плеханова, 2008
Added: January 23, 2013
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
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 ...
Added: January 28, 2013
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 ...
Added: April 15, 2015
Supplementary Proceedings of the 4th International Conference on Analysis of Images, Social Networks and Texts (AIST'2015)
Aachen: CEUR Workshop Proceedings, 2015
This volume contains proceedings of the fourth conference on Analysis of Images, Social Networks and Texts (AIST’2015)1 . The first three conferences in 2012–2014 attracted a significant number of students, researchers, academics and engineers working on interdisciplinary data analysis of images, texts, and social networks. The broad scope of AIST makes it an event where ...
Added: October 9, 2015