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ICFCA 2019 : The 15th International Conference on Formal Concept AnalysisConference Series : International Conference on Formal Concept Analysis | |||||||||||||||||
Link: https://www.informatik.fb2.frankfurt-university.de/~icfca2019/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
ICFCA 2019 Call for papers
June 25-28 2019 - Frankfurt, Germany https://www.informatik.fb2.frankfurt-university.de/~icfca2019/ Formal Concept Analysis emerged in the 1980’s from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery. The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Environment, Life and Social Sciences, etc. All accepted submissions will be refereed, and the conference proceedings will be published by Springer in the LNCS/LNAI series. Topics of Interest Main topics of interest include, but are not limited to: • Fundamental aspects of FCA: FCA theory, Lattice theory, lattice drawing, philosophical foundations, algorithms and complexity theory • Bridging FCA to information sciences and artificial intelligence: FCA and logic (e.g., semantic web, description logics), FCA and conceptual structures (e.g., concept graphs, knowledge spaces), FCA and data analysis (e.g., hierarchical classification, data organization), FCA and data mining (e.g., pattern mining), FCA and information retrieval (e.g. exploratory search, navigation, querying), FCA and machine learning (e.g., learning with hypothesis, feature selection), FCA and database theory (e.g., dependencies, rules, data cubes), FCA and software engineering, FCA and morphological mathematics. • Understanding, modelling real-world data and phenomena with FCA: Analysis of “big data” with FCA (e.g., sampling, parallel computing), analysis of social networks and their dynamics, applications for scientific data analysis (e.g., in biology, ecology or health care), applications for sensors data and user interactions traces, other FCA applications. Submissions We invite scientific publications on theory and applications of Formal Concept Analysis. Papers of up to sixteen pages may be submitted in PDF format via the Easychair system https://easychair.org/conferences/?conf=icfca2019. Authors are requested to follow the formatting instructions for the Springer LNCS style, see http://www.springer.de/comp/lncs/authors.html Accepted papers must be presented at the conference, therefore at least one author per paper has to register timely. Important Dates abstract submission: January 18 2019 paper submission: January 25 notification of acceptance: March 18 camera ready copies due : April 12 Conference: June 25-28 2019 Organization The conference will be hosted by Frankfurt University of Applied Sciences, Frankfurt, Germany. https://www.informatik.fb2.frankfurt-university.de/~icfca2019/ Conference Chair - Baris Sertkaya, Frankfurt University, Germany Program Chairs - Diana Cristea, Babes-Bolyai University Cluj-Napoca, Romania. - Florence Le Ber, Université de Strasbourg/ENGEES, France Editorial Board - Jaume Baixeries, Polytechnic University of Catalonia. - Karell Bertet, L3I, Université de La Rochelle, France - Peggy Cellier, IRISA, INSA Rennes, France - Florent Domenach, Akita International University, Japan - Peter Eklund, University of Wollongong, Australia - Sebastien Ferré, Université de Rennes 1, France - Bernhard Ganter, Technische Universität Dresden, Germany - Cynthia Vera Glodeanu - Robert Godin, Université du Québec à Montréal (UQAM), Canada - Dmitry Ignatov, Higher School of Economics, Moscow, Russia - Mehdi Kaytoue, LIRIS, INSA Lyon, France - Sergei Kuznetsov, Higher School of Economics, Moscow, Russia - Leonard Kwuida, Bern University of Applied Sciences, Switzerland - Rokia Missaoui, Université du Québec en Outaouais (UQO), Canada - Amedeo Napoli, LORIA, Nancy, France - Sergei Obiedkov, Higher School of Economics, Moscow, Russia - Manuel Ojeda-Aciego, Universidad de Málaga, Spain - Uta Priss, Ostfalia University of Applied Sciences, Wolfenbüttel, Germany - Sebastian Rudolph, Technische Universität Dresden, Germany - Christian Sacarea, Babes-Bolyai University, Cluj-Napoca, Romania. - Stefan E. Schmidt, Technische Universität Dresden, Germany - Barış Sertkaya, Frankfurt University of Applied Sciences, Germany - Gerd Stumme, Kassel Universität, Germany - Petko Valtchev, Université du Québec à Montréal, Canada - Karl Erich Wolff, University of Applied Sciences, Darmstadt, Germany Honorary Members - Vincent Duquenne, ECP6-CNRS, Université Paris 6, France PC (to be completed) - Simon Andrews, University of Sheffield, United Kingdom - Agnès Braud, ICube, Université de Strasbourg, France - Aleksey Buzmakov, Higher School of Economics, Moscow, Russia - Claudio Carpineto, Fondazione Ugo Bordoni, Italy - Victor Codocedo, Universidad Técnica Federico Santa María, Chile - Christophe Demko, L3I lab, Université de La Rochelle, France - Xavier Dolques, Movidone, Strasbourg, France - Alain Gély, Université Paul Verlaine, Metz, France - Tom Hanika, Kassel Universität, Germany - Marianne Huchard, LIRMM, Université Montpellier, France - Michal Krupka, Palacky University, Olomouc, Czech Republic - Marzena Kryszkiewicz, Warsaw University of Technology, Poland - Wilfried Lex, Universität Clausthal, Germany - Jesús Medina, Cadiz University, Spain - Engelbert Mephu Nguifo, LIMOS, Université de Clermont Ferrand 2, France - Jean-Marc Petit, LIRIS, INSA Lyon, France - Henry Soldano, Université Paris 13, France - Laszlo Szathmary, University of Debrecen, Hungary - Jean-François Viaud, L3I lab, Université de La Rochelle, France |
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