Concept Discovery in Unstructured Data (workshop)
Материал из MachineLearning.
2nd International Workshop on Concept Discovery in Unstructured Data (CDUD)
In conjunction with ICFCA 2012 (6 - 10 May 2012, Leuven, Belgium)
Содержание |
Общая информация
Concept discovery is a Knowledge Discovery in Databases (KDD) research field that uses human-centered techniques such as Formal Concept Analysis (FCA), Biclustering, Triclustering, 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. Second, in this workshop we also particularly welcome research on using human-centered instruments such as FCA to analyse unstructured and semi-structured data.
Applications in which we are interested include but are not limited to Text Mining, 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. Finally, innovations which increase the expressiveness of existing methods for unstructured data analysis such as fuzzy FCA, rough FCA, Latent Semantic Analysis, probabilistic concept discovery are also of interest to this workshop. Сайт конференции: [1]
Тематика конференции
- Data Mining (Text Mining, Graph Mining, Web Mining, Association Rules, Frequent Closed Sets, etc.)
- Dealing with knowledge incompleteness and asymmetry
- Discovery techniques for conceptual models
- Efficient indexing and structuring algorithms
- Formal Concept Analysis (FCA), Fuzzy FCA and Rough FCA
- Knowledge discovery
- Innovative applications of FCA for discovery purposes
- Natural Language Processing, Latent Semantic Analysis
- Probabilistic concept discovery
- Structured methods for KDD
- Sociological applications of FCA and related methods
- Conceptual Clustering, Biclustering, Triclustering etc
- Ontology Learning from text
Программный комитет
Руководители
- Dmitry Ignatov, University - Higher School of Economics, Russia
- Sergei Kuznetsov, Moscow Higher School of Economics, Russia
- Jonas Poelmans, Katholieke Universiteit Leuven Belgium
Члены программного комитета (подтвердившие участие)
- Simon Andrews
- Florent Domenach
- Irina Efimenko
- Boris Galitsky
- Bernhard Ganter
- Yury Katkov
- Natalia Loukachevitch
- Dmitry Mouromtsev
- Xenia Naidenova
- Alex Neznanov
- Sergei Obiedkov
- Simon Polovina
- Uta Priss
- Dominik Slezak
- Johanna Voelker
- Rostislav Yavorsky
Важные даты
Submission deadline: February 1, 2012
Revisions: March 13, 2012
Camera-ready copy: April 1, 2012
Дата проведения уточняется. Один из дней с 6 по 10 мая.
Место проведения конференции
Левен, Бельгия
Как приехать на конференцию
Информация появится позже, следите за сайтом семинара. Будет возможно удаленное участие.
Требования к оформлению статей
All accepted papers will be included in the workshop's proceedings to be published by Katholieke Universiteit Leuven. Also, the proceedings will be published online on the CEUR-Workshop web site in a volume with ISSN.
Submission Procedure: Electronic version of full paper complete with authors' affiliations should be submitted through the conference electronic submission system. Use the submission link http://www.easychair.org/conferences/?conf=cdud2012
Manuscripts must be prepared with LaTeX or Microsoft Office and should follow the Springer format available at http://www.springer.de/comp/lncs/authors.html
The maximum number of accepted papers by an individual author that can be covered by the workshop's registration charge is 3. The papers over 12 pages are not allowed.
Материалы конференции
Прочие материалы появятся позже.
machine 00:31, 25 декабря 2011 (MSK)
