First Announcement of the 7th German-Japanese Workshop on „Advances in Data Analysis and Related New Techniques and Applications“

The 7th German-Japanese Workshop will take place July 2-3, 2018, at TU Dortmund University, as a satellite workshop of the ECDA 2018 in Paderborn, Juli 4-6, 2018.

German and Japanese scientists will present invited papers.


Prof. Dr. C. Weihs (Technical University of Dortmund)
with Prof. Dr. D. Baier (University of Bayreuth), Prof. Dr. R. Decker (University of Bielefeld, Prof. Dr. Geyer-Schulz (Karlsruhe Institute for Technology), Prof. Dr. B. Lausen (University of Essex) and Prof. Dr. A. Ultsch (University of Marburg)

Further information follows soon.

6th German-Japanese Workshop on Advances in Data Analysis and Related New Techniques and Applications

6th German-Japanese Workshop on Advances in Data Analysis and Related New Techniques and Applications was held on August 11th and 12th, 2017 at Tama University, Shinagawa satellite Campus in Tokyo, Japan. The chairperson of organizing committee was Tadashi Imaizumi (Tama University).

The speakers and the titles of their talks were as follows:

  • Ensemble methods in classification and clustering,
    Berthold Lausen(University of Essex)
  • Applying tensor decompositions to author name disambiguation of common Japanese researcher names,
    Kei Kurakawa (National Institute of Informatics) and Yasumasa Baba (The Institute of Statistical Mathematics).
  • Lorenz Curves, Gini index and… Bacteria,
    Alfred Ultsch (University of Marburg).
  • Variations of Ward method for non-Euclidean spaces and a two-stage algorithm,
    Sadaaki Miyamoto (University of Tsukuba),
    Yuuto Tamura (University of Tsukuba) and Yasunori Endo (University of Tsukuba).
  • Cluster-Scaled Forecasting Method for High-Dimension Low-Sample Size Data,
    Mika Sato-illic (University of Tsukuba).
  • Screening for ordinal class structures,
    Ludwig Lausser (Ulm University), Lyn-Rouven Schirra (Ulm University), Florian Schmid (Ulm University), Robin Szekely (Ulm University) and Hans A Kestler (Ulm University).
  • Gini index penalized canonical covariance analysis for three-mode three-way data,
    Jun Tsuchida (Doshisha University) and Hiroshi Yadohisa (Doshisha University)
  • Components, Cluster (and Correspondence): A data driven approach to consumer behavior segmentation,
    Karsten Luebke (FOM Hochschule für Oekonomie & Management) and Oliver Gansser (Dortmund).
  • Classification of influences for SNS text data regarding radiation,
    Takafumi Kubota (Tama University).
  • Data Science-Is the impact of Statistics significant?
    Claus Weihs (TU Dortmund University).
  • Meta-Analysis with Symbolic Data Approach,
    Masahiro Mizuta (Hokkaido University).
  • Singular Least Squares and the Analysis of Simple Conjoint Experiments,
    Andreas Geyer-Schulz (Karlsruher Institut für Technologie).
  • “New” Techniques for Site Engineering: Kano and Jobs-to-Be-Done Revisited,
    Daniel Baier (University of Bayreuth), Franziska Kullak* (University of Bayreuth) and Herbert Woratschek (University of Bayreuth)
  • Customer Segmentation with Qualitative Comparative Analysis,
    Yuki Toyoda (Hosei University)
  • Omni-Channel Overview-Business Trends and Research Reviews in Marketing Science,
    Hiroyuki Tsurumi (Yokohama National University).
  • Guiding supervised classification algorithms via semantic knowledge,
    Hans Kestler (Ulm University)
  • Study on Globalization of Japanese companies Based on Text Mining,
    Atsuho Nakayama (Tokyo Metropolitan University) and Komoda Fumio (Saitama Gakuen University).

Diagnostic Classification of Student’s Knowledge States based on Their Item Response Data,
Yuan Sun (National Institute of Informatics), Shunya Inoue (Tokyo Kasei University) and Yi Sun (University of China Academy of Science).

First Announcement for the European Conference on Data Analysis (ECDA) 2019 in Bayreuth

We are pleased to draw your attention to a change in location for the European Conference on Data Analysis 2019. As already announced in the current “Brief zur Klassifikation“, ECDA 2019 will take place in Bayreuth (Germany) from 18.3. – 20.3.2019.

Our board member Prof. Dr. Daniel Baier, who also holds the Chair for „Innovations- und Dialogmarketing“ at the university of Bayreuth, will be responsible for the event’s organization.

More information about the event will be available soon on and on the conference website.

We look forward to  a successful and well-attended ECDA2019

Prof. Dr. Sabine Krolak-Schwerdt died after a short illness

Obituary for Sabine Krolak-Schwerdt (20.12.1958-12.12.2017)

Prof. Dr. S. Krolak-Schwerdt (University of Luxembourg)

On 12 December 2017 Professor Sabine Krolak-Schwerdt passed away. She was 58 years old. Since 2008 Krolak-Schwerdt had a personal chair in Educational Measurement at the Faculty of Language and Literature, Humanities, Arts and Education, University of Luxembourg, Luxembourg and since 2015 she served as founding president of the European Association for Data Science (EuADS). In addition she was a member of the board oft he GfKl Data Science Society and founded as first conference chair (July 2013, Luxemburg) the European Conference on Data Analysis (ECDA); video of ECDA2013.

1986 she received her Diploma in Psychology, 1990 PhD (Dr. phil.) at the Saarland University with the dissertation: „Modelle der dreimodalen Faktorenanalyse“ [Models of three-mode factor analysis] and 2000 Habilitation in Psychology, Faculty of Philosophy, Saarland University with the dissertation „Kategorien des Person-gedächtnisses. Einfluss von Stimulusmerkmalen und Verarbeitungszielen auf ihr Aktivierung“ [Categories of person memory. Influence of stimulus attributes and processing goals on category activation] and received the  venia legendi in psychology.

2007 Professor (W3 position, Chair) in Educational Assessment at the School of Educational and Social Sciences, Bergische Universität Wuppertal, Germany. 2008 offer of the Professorship in Psychological Methods (Chair) at the Faculty of Psychology, University of Vienna (declined).

Sabine Krolak-Schwerdt has published more than 100 scientific papers, her grant proposals received funding by the Deutschen Forschungsgemeinschaft (DFG) and the Fonds National de la Recherche (FNR). Professor Krolak-Schwerdt was an outstanding and international recognised scholar.

We mourn our endearing colleague Sabine. We will miss her. We hope that we can successfully continue and develop her legacy of the European Association for Data Science (EuADS) and the European Conferences on Data Analysis (ECDA).

Announcement of the 12th Professor Aleksander Zelias International Conference (May 8-11, 2018; Zakopane, Poland)

Aleksander Zelios Conference Head

Dear Members and Friends of the GfKl,

we are glad to announce to you the 12th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena. The conference will take place from May 8–11 2018 in Zakopane (Poland).
The 12th Professor Aleksander Zelias International Conference on Modelling and Forecasting of Socio-Economic Phenomena is an annual event organised by the Department of Statistics at Cracow University of Economics and the Committee of Statistics and Econometrics of the Polish Academy of Sciences.
Its main aim is the integration of Polish statisticians and econometricians and foreign scientists collaborating with them. Another aim of the conference is to discover new directions of research and to promote and spread the results obtained from research conducted in academic and scientific centres in Poland and abroad. Also, its aim is to present the latest research in the broadly understood areas of statistics, econometrics and economic forecasting in Poland and abroad. The last but not least aim of the conference is to educate young scientists and to serve as a place where they can exchange their ideas and share the results obtained in their research, as well as to activate young scientists and reward them for their work.


  • Theory of Statistics and Econometrics
  • Forecasting and Prediction Methods
  • Classification ad Data Analysis Methods
  • Multivariate Analysis
  • Labor Statistics
  • Environmental Statistics
  • Social Statistics
  • Demography
  • Medical Statistics
  • Macroeconometrics
  • Energy Market Modelling
  • Financial Econometrics
  • Spatial Econometrics
  • Financial Engineering and Insurance
  • Applications of Mathematics in Economics

Important Deadlines

Deadline for application and abstract submission (in English) January 8, 2018
Notification of abstract acceptance January 18, 2018
Submission of full papers for Proceedings
(editorial requirements on the conference website)
January 26, 2018
Conference fee payment deadline March 15, 2018


For further Information, please see the attached Flyer or visit the conference website.

56th Newsletter of International Federation of Classification Societies (IFCS)

Dear members and friends of GfKl,

We are pleased to make the 56th newsletter of the International Federation of Classification Societies available for download for you on

In addition to news and recent reports from the IFCS, the newsletter also includes – among other things – the first announcement of the IFCS Conference 2019 and of course news from CLAD, JCS, the British Classification Society, SKAD and the GfKl.

Enjoy the read!

First Announcement of DSSV 2018

Dear members and friends of GfKl,
We are pleased to announce the Data Science, Statistics & Visualisation 2018 (DSSV 2018). The conference will take place from 9th to 11th July at TU Wien (Austria) and is organized by the International Association for Statistical Computing (IASC-ISI).

This meeting shall create a forum to discuss recent progress and emerging ideas in these different disciplines and encourage informal contacts and discussions among all the participants. The conference welcomes contributions to practical aspects of data science, statistics and visualisation, and in particular those which are linking and integrating these subject areas. Presentations should thus be oriented towards a very wide scientific audience, and can cover topics such as machine learning and statistical learning, the visualisation and verbalization of data, big data infrastructures and analytics, interactive learning, advanced computing, and other important themes.


Keynote Speakers

  • Jerome H. Friedman, Stanford University, USA
  • Helwig Hauser, University of Bergen, Norway

Invited Speakers

  • Mia Hubert, KU Leuven, Belgium
  • Sara van de Geer, ETH Zurich, Switzerland
  • Ryan Tibshirani, Carnegie Mellon University, USA
  • Zeynep Akata, University of Amsterdam, The Netherlands
  • Eric Postma, Tilburg University, The Netherlands

Important Dates

Registration and abstract submission start January 8, 2018
Early bird registration due March 26, 2018
Deadline for abstract submission April 9, 2018
Notification of acceptance April 30, 2018
Standard registration due May 11, 2018
Final upload of accepted contributions May 15, 2018
Preliminary programme announcement June 15, 2018
DSSV 2018 conference July 9-11, 2018

Scientific Programme Committee

  • Patrick Groenen, Erasmus University Rotterdam, The Netherlands (Chair)
  • Rosário Oliveira, University of Lisbon, Portugal
  • Peter Filzmoser, TU Wien, Austria
  • Chun-Houh Chen, Academia Sinica, Taiwan
  • Daniel Keim, University of Konstanz, Germany
  • Andreas Rauber, TU Wien, Austria
  • Peter Rousseeuw, KU Leuven, Belgium

Local Organizing Committee

  • Peter Filzmoser, TU Wien, Austria (Chair)
  • Silvia Miksch, TU Wien, Austria
  • Andreas Rauber, TU Wien, Austria
  • Efstathia Bura, TU Wien, Austria
  • Allan Hanbury, TU Wien, Austria
  • Klaus Nordhausen, TU Wien, Austria

Further information, about the conference, the registration and the submission of abstracts can be found on

ECDA 2018 in Paderborn (Germany) (04.07.18 – 06.07.18)

Screenshot-2017-11-29 ECDA 2018

Following previous editions in Luxembourg (2013), Bremen (2014), Colchester (2015), and Wroclaw (2017), the European Conference on Data Analysis (ECDA) will take place in Paderborn, Germany, 4th – 6th July, 2018. It will be located in the Heinz Nixdorf MuseumsForum, the world’s largest computer museum.

ECDA was launched in 2013 and emerged from the annual conference of the German Classification Society (GfKl). It is supported by the European Association for Data Science (EuADS), the International Association for Statistical Computing (IASC), the German Computer Science Society (GI), as well as other European classification societies (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)). 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).

ECDA 2018 will be hosted by Paderborn University, a modern profile university that has developed into an internationally respected center for top-level research and higher education in the recent decades. The ambition of UPB is to play a leading role as “the university for the information society”. With a strong foundation in computer science and its applications, it contributes to the scientific and technical development of the information society, while critically reflecting these developments taking into account our society’s history, norms, and values. Obviously, these goals can only be achieved by utilizing the entire spectrum from the “hard” sciences to the arts and humanities, which all need to complement and learn from each other.

With this motto in mind, ECDA 2018 will pay special emphasis on interdisciplinary research and the interaction of theory and practice. The scientific programme of the conference will include sessions with invited talks and contributed presentations covering a broad range of topics. These include but are not limited to:

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.


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:

  • Advances in Recursive Partitioning and Related Methods (Claudio Conversano)
  • Algorithm Selection/Configuration and Machine Learning (Bernd Bischl, Felix Mohr, Marcel Wever)
  • Applications in Digital Humanities (Michaela Geierhos)
  • Big Data and Complex Network Analytics (Martin Atzmüller)
  • Bioinformatics and Biostatistics (Dominik Heider)
  • Comparison and Benchmarking of Cluster Analysis Methods (Christian Hennig)
  • Computational Social Science (Henning Wachsmuth)
  • Consumer Preferences and Marketing Analytics (Friederike Paetz, Daniel Guhl)
  • Data Analysis Models in Economics and Business (Jozef Pociecha)
  • Data Analysis in Finance (Krzysztof Jajuga)
  • Data Science for Mental Health (Fionn Murtagh, Mohsen Farid)
  • Dimension Reduction and Visualisation for Classification (Niel le Roux)
  • European Association for Data Science (EuADS) Symposium on Data Science Education (Rolf Biehler, Reinhold Decker, Peter Flach, Berthold Lausen, Carsten Schulte)
  • Interpretable Machine Learning (Eneldo Loza Mencia, Johannes Fürnkranz)
  • Machine Learning for Dynamic Systems (Volker Lohweg, Oliver Niggemann)
  • Mining Streaming and Time-Evolving Data (Barbara Hammer, Georg Krempl, Jerzy Stefaniwski)
  • Multimodal Data and Cross-modal Relations: Analytics and Search (Ralph Ewerth)
  • Recent Developments in Longitudinal Data Analysis in Psychology (Casper Albers)
  • Statistical Aspects of Machine Learning Methods (Florian Dumpert)
  • Statistical Learning with Imprecision (Thomas Augustin, Sebastian Destercke)
  • Statistical Visualization for Data Science (Koji Kurihara, Adalbert Wilhelm)
  • Time Series Analysis and Online Algorithms (Wolfgang Konen)
  • Web Science (Axel Ngonga)

Keynote Speakers

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


Important Dates

  • Abstract submission 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


Further information (e.g. submission and publication of submitted full papers) can be found on the conference website and on the Call for Papers (which can be downloaded here).


Picture Credits: HNF Paderborn

First Announcement: Statistical Computing 2018 at Schloss Reisenburg (Germany) (08.07.18 – 11.07.18)

We are pleased to announce the 50th Workshop of the working groups Statistical Computing (GMDS / IBS-DR) and Classification and Data Analysis in the Biowisschenschaften (AG BT of the GfKl).

The workshop “Statistical Computing” is carried out annually by the working groups “Statistical Computing” of the GMDS / IBS-DR and the AG BT of the Society for Classification. The meeting provides a forum for discussing methodological developments in the field of statistical computing.
Although there is a focus on applications in the life sciences, contributions from other areas of research are also very welcome.
Venue is the Reisenburg near Ulm, which also offers accommodation and meals for the participants. Traditionally, the workshop starts on Sunday with a lecture by an expert in the field of statistical computing. In the following days, the program includes guest lectures, practice-oriented tutorials and at least one other main lecture.
Typically, the number of participants in the sessions is around 40, allowing for productive and enjoyable discussions.

Abstract Submission Deadline: TBA

Contributed presentations from the research areas “Statistical Computing” and “Computational Statistics” are very appreciated.

Abstracts for talks or posters should be submitted by e-mail to Hans Kestler and Axel Fuerstberger. The workshop language will be English.


Further information about the workshop, the submission of abstracts, lectures and registration can be found here.