CDUD 2022
Special Session on Concept Discovery in Unstructured Data
at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022)Ho Chi Minh City, Vietnam
Conference website: http://www.aciids.pwr.edu.pl
Special Session Organizers
Assoc. Prof. Dr. Jaume Baixeries
Department of Computer Science
Universitat Politecnica de Catalunya, Barcelona, Catalonia, Spain
E-mail: jbaixer@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@bfh.ch
Prof. Dr. Radhakrishnan Delhibabu
School of Computer Science and Engineering
VIT University, Tamilnadu, India
E-mail: rdelhibabu@gmail.com
Department of Computer Science
Universitat Politecnica de Catalunya, Barcelona, Catalonia, Spain
E-mail: jbaixer@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@bfh.ch
Prof. Dr. Radhakrishnan Delhibabu
School of Computer Science and Engineering
VIT University, Tamilnadu, India
E-mail: rdelhibabu@gmail.com
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:
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
ACIIDS 2022 important dates
Submission of papers: 22 May 2022 (Hard deadline)
Notification of acceptance: 11 July 2022
Camera-ready papers: 25 July 2022
Registration & payment: 25 July 2022
Conference date: 28-30 November 2022
Notification of acceptance: 11 July 2022
Camera-ready papers: 25 July 2022
Registration & payment: 25 July 2022
Conference date: 28-30 November 2022