ARHIV DRUŽBOSLOVNIH PODATKOV

The German Classification Society (GfKl) and the French speaking Classification Society (SFC) invite you to the European Conference on Data Analysis. The conference will take place on 10-12 July, 2013 in Luxembourg. It will be hosted by the University of Luxembourg (UL), an institution with an international reach that aims at excellence in research and education.

UL is an innovative university, centered on research, primarily interested in the quality of the structure it offers to its students, its teachers, and its researchers and attentive to the needs of the society around it. It contributes to turning out discerning and independent personalities with strong potential for action in research, innovation and in society.

The conference scientific program will include sessions with invited talks and contributed presentations from a broad range of topics. Special emphasis will be laid on interdisciplinary research and the interaction of theory and practice.

DEADLINE FOR ABSTRACT SUBMISSONS EXTENDED TO MARCH 31, 2013
The broad range of relevant topics is illustrated by the following list of intended sections. Contributed papers from scholars and practitioners are invited on any of these as well as on related topics:

• Theory and Methods, including but not limited to Multivariate Methods, Exploratory Data Analysis, Clustering and Classification, Pattern Recognition and Machine Learning, Visualization and Scaling Methods, Evaluation of Methods


• Data Science, including Data Pre-Processing, Text and Web Mining, Information Extraction and Retrieval, Personalization and Intelligent Agents


• Applications, involving Marketing and Management Science, Banking and Finance, Production, Controlling and OR, Biostatistics and Bioinformatics, Genome and DNA Analysis, Medical and Health Sciences, Archaeology and Geography, Linguistics and Statistical Musicology, Psychology and Education, Library Science


• The Workshop on Library and Information Science solicits contributions on the role of classification and data analysis in this domain. Topics in this area include but are not limited to: Classification and subject indexing in the context of catalogs and resource discovery systems; Methods, approaches and applications in subject indexing, classification and data analysis in different countries; Open access to classification systems: How can we provide a sustainable classification infrastructure?; Linked (subject) data (e.g. faceted classification and linked data architectures: A happy alignment?); Classification, subject indexing and the semantic web (e.g. taxonomies and semantic web ontologies: How closely are they related to each other?); Automatic and manual methods in classification and subject indexing (e.g. mappings, concordances, heuristics); Subject retrieval in multilingual, multicultural environments; Serendipity in library collections and digital libraries