CDUD 2016 - 3d International Workshop on Concept Discovery in Unstructured Data

Concept discovery is a subdomain of Knowledge Discovery (KDD) 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 workshop 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 knowledge incompleteness and asymmetry.
Subject coverage:
- 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
- Efficient indexing and structuring algorithms
- Formal Concept Analysis
- Graph Mining
- Knowledge discovery and representation
- Natural Language Processing
- Ontology Learning from text
- Probabilistic concept discovery
- Text Kernels
- Text Mining
- Topic Modeling
- Visual Analytics
Workshop chairs
Dmitry Ignatov, National Research University Higher School of Economics, Russia
Dmitry Ilvovsky, National Research University Higher School of Economics, Russia
Alexander Panchenko, Tehcnische Universitat Darmstadt, Germany
Program committee (tentative)
Simon Andrews, Sheffield Hallam University, United Kingdom
Jaume Baixeries, Barcelona, Spain
Sergei Bartunov, National Research University Higher School of Economics
Daniel Borchmann, TU Drezden, Germany
Alexei Buzmakov, National Research University Higher School of Economics, Russia
Víctor Codocedo, LORIA, Nancy
Fritjhof Dau, SAP, Germany
Felix Distel, TU Drezden, Germany
Florent Domenach, University of Nicosia, Cyprus
Bernd Fischer, Stellenbosh University, South Africa
Boris Galitsky, Knowledge Trail, USA
Bernhard Ganter, Technical University of Dresden, Germany
Gillian Greene, Stellenbosh University, South Africa
Dmitry Ilvovsky, National Research University Higher School of Economics, Russia
Robert Jaeshke, Leibniz Universität Hannover, Germany
Yuri Katkov, EPFL, Geneva, Switzerland
Mehdi Kaytoue, LORIA, Lyon, France
Francesco Kriegel, TU Drezden, Germany
Sergei O. Kuznetsov, National Research University Higher School of Economics
Victor Lempitsky, Skolkovo Institute of Science and Technology, Russia
Natalia Loukachevitch, Lomonosov Moscow State University, Russia
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, TU Drezden, Germany
Sergei Obiedkov, National Research University Higher School of Economics, Russia
Alexander Panchenko, Tehcnische Universitat Darmstadt, Germany
Simon Polovina, Sheffield Hallam University, United Kingdom
Uta Priss, Edinburgh Napier University, United Kingdom
Sebastian Rudolph, TU Drezden, Germany
Vladimir Selegey, ABBYY Software, Russia
Barish Sertkaya, Frankfurt University of Applied Sciences, Germany
Dominik Slezak, University of Warsaw, Poland
Rustam Tagiew, Polarez GmBH, Germany
Johanna Voelker, University of Mannheim, Germany
Rostislav Yavorskiy, National Research University Higher School of Economics, Russia
Important dates
Submission deadline: May 23, 2016
Notification of acceptance: June 08, 2016
Camera-ready copy: June 23, 2016