CDUD 2012 - 2nd Concept Discovery in Unstructured Data workshop

2ND CONCEPT DISCOVERY IN UNSTRUCTURED DATA WORKSHOP (CDUD)

IN CONJUNCTION WITH ICFCA 2012 (6 - 10 MAY 2012, LEUVEN, BELGIUM)

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.

SUBJECT COVERAGE:

CDUD TOPICS - PART 1

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
CDUD TOPICS - PART 2

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
PAPER SUBMISSION

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=cdud201...

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.

Submission deadline: February 1, 2012

Revisions: March 13, 2012

Camera-ready copy: April 1, 2012