16 Dec
2021
16 Dec
'21
3:52 p.m.
(with apologies for cross postings)
Please consider to contribute to and/or forward to the appropriate groups.
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REMINDER
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The deadline for paper submissions is 31 DECEMBER 2021.
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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/
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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