(with apologies for cross postings) Please consider to contribute to and/or forward to the appropriate groups.         ========         REMINDER         ======== The deadline for paper submissions is => 15 January 2022 <= (Hard Deadline). ======================================================= CDUD 2022 Special Session on Concept Discovery in Unstructured Data at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) Almaty, Kazakhstan, June 6-9, 2022 Conference website: http://www.aciids.pwr.edu.pl/ ======================================================= Objectives and topics Concept discovery is a subdomain of Knowledge Discovery (KDD) and AI that uses human-centered techniques such as Formal Concept Analysis (FCA), Topic Modeling, Visual Text Representations, Conceptual Graphs etc. for gaining insight into the underlying conceptual structure of the data. Traditional machine learning techniques are mainly focusing on structured data whereas most data available resides in unstructured, often textual, form. Compared to traditional data mining techniques, human-centered instruments actively engage the domain expert in the discovery process. This special session welcomes papers describing innovative research on data discovery techniques. Moreover, this workshop intends to provide a forum for researchers and developers of data mining instruments, working on issues associated with analyzing unstructured data. First, we are interested in methods for transforming unstructured into semi-structured information. Unstructured information such as texts or images can be tagged, keywords can be extracted from texts by means of Natural Language Processing methods, etc. For example, recently so-called Learning Representations such as Text Vectors or Visual Words have gained much attention in the domain of unstructured data. Second, in this workshop we also particularly welcome research on using human-centered instruments such as FCA to analyze unstructured and semi-structured data. Applications in which we are interested include but are not limited to Text Mining and Web Mining including forums, blogs, social sharing systems like Twitter and Facebook, mining sociological interviews, etc. We are also interested in innovative instruments for dealing with interpretability, fairness, transparency, knowledge incompleteness and asymmetry. CDUD 2022 is the fourth edition of the three preceding workshops: CDUD 2016 (Moscow, Russia, 2016; website: https://cla2016.hse.ru/cdud; Proceedings: http://ceur-ws.org/Vol-1625/), CDUD 2012 (​​Leuven, Belgium, 2012; Proceedings: http://ceur-ws.org/Vol-871/), and CDUD 2011 (Moscow, Russia, 2011; Proceedings: http://ceur-ws.org/Vol-757/). The scope of the CDUD 2022 includes (but not limited) the following topics: - Applications of FCA for discovery purposes - Association Rules and Frequent Closed Itemsets - Biclustering and Multimodal clustering - Conceptual Clustering - Dealing with knowledge incompleteness and asymmetry - Deep Learning for Text Representations - Discovery techniques for conceptual models - Explainable, fair and transparent AI - Efficient indexing and structuring algorithms - Formal Concept Analysis and Rough Sets - Graph Mining and Learning - Pattern Mining for Intelligent Transport - Knowledge discovery and representation - Natural Language Processing - Ontology Learning from text - Probabilistic concept discovery - Patterns in Big Data and No-SQL databases - Recommender Systems - Text Mining and Text Kernels - Topic Modeling - Visual Analytics Submission Details All contributions should be original and not published elsewhere or intended to be published during the review period. Authors are invited to submit their papers electronically in pdf format, through EasyChair. All the special sessions are centralized as tracks in the same conference management system as the regular papers. Therefore, to submit a paper please activate the following link and select the track: CDUD 2022: Special Session on Concept Discovery in Unstructured Data. https://easychair.org/conferences/?conf=aciids2022 Authors are invited to submit original previously unpublished research papers written in English, of up to 13 pages, strictly following the LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or Word templates available at Springer's web site. Submissions not following the format guidelines will be rejected without review. To ensure high quality, all papers will be thoroughly reviewed by the CDUD 2022 Program Committee. All accepted papers must be presented by one of the authors who must register for the conference and pay the fee. The conference proceedings will be published by Springer in the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI Web of Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus, etc.). Important Dates Submission of papers: 31 December 2021 Notification of acceptance: 1 February 2022 Camera-ready papers: 15 February 2022 Registration & payment: 15 February 2022 Conference date: 6-9 June 2022 Organization Assoc. Prof. Dr. Jaume Baixeries Department of Computer Science Universitat Politècnica de Catalunya, Barcelona, Catalonia, Spain E-mail: jbaixer(a)cs.upc.edu Prof. Dr.  Leonard Kwuida Business School, Institute for Applied Data Science and Finance Bern University of Applied Sciences, Bern, Switzerland E-mail: leonard.kwuida(a)bfh.ch Prof. Dr. Radhakrishnan Delhibabu School of Computer Science and Engineering VIT University, Tamilnadu, India E-mail: rdelhibabu(a)gmail.com Ass. Prof. Dr. Dmitry I. Ignatov School of Data Analysis and Artificial intelligence and Laboratory for Models and Methods of Computational Pragmatics (Head) National Research University Higher School of Economics, Moscow, Russia E-mail: dignatov(a)hse.ru Program Committee (to be invited) Secretary: Aliya Nugumanova, S. Amanzholov East Kazakhstan State University, Kazakhstan Kuanysh Abeshev, Almaty Management University (AlmaU), Kazakhstan Simon Andrews, Sheffield Hallam University, United Kingdom Vladimir  Barakhnin, Novosibirsk State University, Russia Alexei Buzmakov, National Research University Higher School of Economics, Russia Inma P. Cabrera, Universidad de Málaga, Spain Víctor Codocedo, LORIA, Nancy Pablo Cordera, Universidad de Málaga, Spain Florent Domenach, Akita International university Bernd Fischer, Stellenbosh University, South Africa Gillian Greene, Stellenbosh University, South Africa Dmitry Ilvovsky, National Research University Higher School of Economics, Russia Martin Trnecka, UPOL, Czech Republic Sergey Zykov, National Research University Higher School of Economics, Russia Mehdi Kaytoue, LORIA, Lyon, France Francesco Kriegel, TU Drezden, Germany Sergei O. Kuznetsov, National Research University Higher School of Economics Jan Konecny, Dept. Computer Science, Palacky University, Olomouc Natalia Loukachevitch, Lomonosov Moscow State University, Russia Madina Mansurova, Al-Farabi Kazakh National University, Kazakhstan Dmitry Mouromtsev, National Research University of Information Technologies, Mechanics and Optics, Russia Xenia Naidenova, Military Medical Academy, Russia Amedeo Napoli, LORIA, Nancy, France Alexey Neznanov, National Research University Higher School of Economics, Russia Artem Revenko, Semantic Web Company, Vienna, Austria Alexander Panchenko, Skolkovo University of Technology, Russia and Tehcnische Universitat Darmstadt, Germany Uta Priss, Edinburgh Napier University, United Kingdom Jan Outrata, Dept. Computer Science, Palacky University, Czech Republic Dmitry Ustalov, Ural Federal University, Russia Baris Sertkaya, Frankfurt University of Applied Sciences, Germany Dominik Slezak, University of Warsaw, Poland Rustam Tagiew, German Center for Railway Traffic Research, Dresden, Germany Jesus Medina Moreno, University of Cádiz, Spain Rinat Zhukenov, National Information Technologies JSC, Nur-Sultan, Kazakhstan