ECDA 2018: European Conference on Data Analysis
Paderborn, Germany, July 4-6, 2018


The next European Conference on Data Analysis (ECDA) will take place in Paderborn, Germany, 4th-6th July, 2018. ECDA 2018 includes the 42nd Annual Meeting of the GFKl Data Science Society and the Symposium on Data Science Education of the European Association for Data Science (EuADS). It will be located in the Heinz Nixdorf MuseumsForum (www.hnf.de), the world’s largest computer museum.

ECDA solicits contributions to theoretical as well as application-oriented research on topics in the realm of data science, with a specific focus on data analytics. With its motto “Multidisciplinary Facets of Data Science”, ECDA 2018 specifically emphasizes the important interplay of disciplines involved in data science, most notably statistics and computer science. Topics of interest include, but are not limited to the following:

Theory and Methods: Big Data; Clustering, Classification, Discrimination and Regression; Data Science; Databases and Data Management; Data Mining, Text and Web Mining; Data Visualization; Dimension Reduction; Image Analysis and Computer Vision; Impact of Technical Revolution and Library Science; Knowledge Representation and Discovery; Machine Learning; Mathematical Foundations of Data Science; Multivariate Methods; Online Algorithms and Algorithms for Data Streams; Social Network Analysis; Statistical and Econometric Methods; Symbolic Data Analysis.

Applications: Archeology; Biostatistics; Business and Management; Economics; Education; Engineering; Finance; Geosciences; Industrial Automation; Linguistics; Marketing; Medicine and Health Care; Musicology; Psychology; Risk Management; Social Sciences.

Besides, ECDA will feature several special sessions on interesting research themes within the scope of the conference. The (still growing) list of these sessions includes the following: Recent developments in longitudinal data analysis in psychology (Casper Albers), EuADS Symposium on Data Science Education (Rolf Biehler, Sabine Krolak-Schwerdt, Berthold Lausen, Carsten Schulte), Statistical aspects of machine learning methods (Florian Dumpert), Bioinformatics and biostatistics (Dominik Heider), Comparison and benchmarking of cluster analysis methods (Christian Hennig), Data analysis in finance (Krzysztof Jajuga), Visualization for data science (Koji Kurihara, Adalbert Wilhelm), Web Science (Axel Ngonga), Consumer Preferences and Marketing Analytics (Friederike Pätz, Daniel Guhl), Data analysis models in economics and business (Jozef Pociecha), Dimension reduction and visualisation for classification (Niel le Roux).

Keynote Speakers
Niko Beerenwinkel (ETH Zürich)
James Berger (Duke University, USA)
Andreas Christmann (University of Bayreuth, Germany)
Jurgen Doornik (University of Oxford, UK)
Irina Gurevych (TU Darmstadt, Germany)
Barbara Hammer (Bielefeld University, Germany)
Johannes Hartig (DIPF, Frankfurt, Germany)
Luc de Readt (Universität Leuven, Belgium)
Roberto Rocci (University of Rome Tor Vergata, Italy)
Elena Simperl (University of Southampton, UK)
Yuan Sun (National Institute for Informatics, Japan)

Important Dates
Abstract submission deadline: April 1, 2018
Notification of abstract acceptance or rejection: April 30, 2018
Early registration deadline: May 15, 2018
Registration deadline: June 15, 2018
Full paper submission: September 15, 2018

Accepted full papers will be published in the Journal “Archives of Data Science, Series A” (http://www.archivesofdatascience.org/journals/series_a/).

Partner Organizations
European Association for Data Science (EuADS)
Data Science Society (GfKl)
International Association for Statistical Computing (IASC)
British Classification Society (BCS)
Section on Classification and Data Analysis of the Polish Statistical Association (SKAD)
Classification and Data Analysis Group of the Italian Statistical Society (CLADAC))
Japanese Classification Society (JCS)
German Computer Science Society (GI)

Organization and Contact
General Chair: Eyke Hüllermeier, Paderborn University
Program Chairs: Hans Kestler, University of Ulm
Adalbert Wilhelm, Jacobs University Bremen

For any questions, please feel free to contact the General Chair at info@ecda2018.de.

CFP (pdf) on the ECDA 2018 website