Scientific Program

The scientific program features a range of distinguished keynote and state of the science lectures as well as presentations by leaders in the various fields of data analysis in symposia, workshops and controversial debates. Exhibitions by leading publishing houses, technological innovators and international organizations in data analysis will also be featured.
The conference also includes a workshop on Library and Information Science (LIS Workshop dealing with the role of classification and data analysis in this domain) that will take place from July 10 to 11, 2013.

Here you can find the first draft of the CONFERENCE PROGRAM. Please note, that the program will be updated periodically. Participants will receive a copy of the final program with conference material on-site. You can find a first draft of the program of the LIS Workshop here.

The conference language is English.

 

Invited speakers (alphabetic order)

Francis Bach
Research Director
École Normale Supérieure (ENS) – National Institute for Research in Computer Science and Control (INRIA) Paris, France
http://www.di.ens.fr/~fbach/index.htm

Francis Bach is the lead researcher of the Sierra INRIA project-team, in the Computer Science Department of the Ecole Normale Superieure, Paris, France. He graduated from the Ecole Polytechnique, Palaiseau, France, in 1997, and earned his PhD in 2005 from the Computer Science division at the University of California, Berkeley. His research interests include machine learning, statistics, optimization, graphical models, kernel methods, sparse methods and statistical signal processing. He has been awarded a starting investigator grant from the European Research Council in 2009.

 

 

Hamparsum (Ham) Bozdogan
Tobey and Brenda McKenzie Professor of Information Complexity and Model Selection
Center for Intelligent Systems and Machine Learning (CISML) – University of Tennessee at Knoxville, U.S.A.
http://web.utk.edu/~bozdogan/

Ham Bozdogan is a renowned expert in the area of information-theoretic statistical modeling and model selection. In particular, on the celebrated Akaike’s Information Criterion (AIC), he has extended its range of applications broadly, and has identified and repaired its lack of consistency with a new criterion of his own which is now being used in many statistical software packages including IBM’s SPSS. He is the developer of a new model selection and validation criterion called ICOMP. His current research innovations are in developing intelligent hybrid models between any complex modeling problem, genetic algorithms and his information complexity criterion as the fitness function in high dimensional data mining. Coupled with this, his current research is focused in a long-standing problem of model selection under misspecification.

 

Andrea Cerioli
Professor of Statistics
University of Parma, Italy
http://economia.unipr.it/DOCENTI/home.asp?id=23

Andrea Cerioli has been Professor of Statistics at the University of Parma since 2002. His main research interests include robust multivariate analysis through the forward search, multivariate outlier detection and testing, classification and data mining, as well as the analysis of spatially autocorrelated observations. He has published almost 100 scientific peer-reviewed papers on these topics, most of them in international journals or books, and he is a coauthor of the book Exploring Multivariate Data with the Forward Search (Springer, 2004).

 

Peter A. Flach
Professor of Artificial Intelligence
University of Bristol, UK
http://www.cs.bris.ac.uk/~flach/

Peter Flach has been Professor of Artificial Intelligence at the University of Bristol since 2003. An internationally leading researcher in the areas of mining highly structured data and the evaluation and improvement of machine learning models using ROC analysis, he has also published on the logic and philosophy of machine learning, and on the combination of logic and probability. He is author of Simply Logical: Intelligent Reasoning by Example (John Wiley, 1994) and Machine Learning: The Art and Science of Algorithms that Make Sense of Data (Cambridge University Press, 2012).

 

Tim Friede
Professor of Biostatistics
University Medical Center Göttingen, Germany
http://www.ams.med.uni-goettingen.de/friede-en.shtml

Since January 2010 Tim Friede is Professor of Biostatistics at the University Medical Center Göttingen where he heads up the Department of Medical Statistics. Since 2011 he is also director of the Centre for Informatics, Statistics und Epidemiology that comprises of four departments, namely the Department of Medical Informatics, the Department of Medical Statistics, the Department of Genetic Epidemiology and the Department of Bioinformatics. Tim Friede is Associate Editor of Biometrical Journal and BMC Medical Research Methodology. Since 2003 he is a member of the Editorial Board of the Drug Information Journal. He is principal investigator in the Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK, German centre for cardiovascular research) and in the European Register for Multiple Sclerosis (EUReMS). Furthermore, he is an investigator in the Competence Network Degenerative Dementia (KNDD).

 

Eyke Hüllermeier
Professor of Computational Intelligence
Philipps-Universität Marburg, Germany
http://www.uni-marburg.de/fb12/kebi/people/eyke?language_sync=1

Eyke Hüllermeier is with the Department of Mathematics and Computer Science at Marburg University, where he holds an appointment as a full professor and heads the Computational Intelligence Group. His research interests are focused on methodological foundations of Artificial Intelligence and intelligent systems design, especially on machine learning and data mining as well as modeling and reasoning with uncertain knowledge. He has published around 200 research papers on these topics in top-tier journals and major international conferences, and several of his contributions have been recognized with scientific awards.

 

Yves Lechevallier
Research Director
National Institute for Research in Computer Science and Control (INRIA) Paris, France
https://www.rocq.inria.fr/axis/personnel/Yves.Lechevallier/yves.html

Yves Lechevallier is a senior researcher at INRIA, within the Paris-Rocquencourt center, and he belongs to the AxIS research team (usage-centred design, analysis and improvement of information systems). His research activity mainly concerns data mining: Numeric-symbolic methods, clustering, model trees, (multi-)relational data mining, and web usage mining. He has published more than 100 papers in international journals and conference proceedings and has participated in several European and National research projects.

 

Walter Radermacher
Director General of Eurostat and Chief Statistician of the European Union
European Commission, Luxembourg
http://epp.eurostat.ec.europa.eu/portal/page/portal/about_eurostat/introduction/meet_dg

Walter Radermacher was appointed Director General of Eurostat as of August 1, 2008. Mr. Radermacher, previously the Head of the German Statistical Office (Destatis), has held a wide variety of posts during his thirty-year career there, notably in the fields of environmental and economic statistics. He has been President since December 2006, and was Vice-President between 2003 and 2006. During the 2007 German Presidency, he was chair of the Council’s working group on statistics. He has also chaired the UN Committee on Environmental-Economic Accounting.

 

Gilbert Saporta
Professor of Applied Statistics

National Conservatory of Arts and Crafts (CNAM) Paris, France
http://cedric.cnam.fr/~saporta/indexeng.html

Gilbert Saporta’s research topics focus on multivariate data analysis: Categorical and mixed data analysis by means of optimal scaling techniques and correspondence analysis, functional data analysis, supervised classification with applications in risk analysis (credit scoring), confidence region and validity in data analysis, and data mining and statistical learning theory.

 

Winfried J. Steiner
Professor of Marketing
Clausthal University of Thechnology, Germany
http://www.wiwi.tu-clausthal.de/abteilungen/marketing/personen/steiner/

Winfried J. Steiner studied Business and Economics at the University of Augsburg, and achieved his doctoral grade and postdoctoral lecture qualification as research assistant and assistant professor at the Faculty of Business and Economics of the University of Regensburg, Germany. His research interests refer to sales and price response modeling, brand choice modeling, choice-based conjoint analysis, new product design, and market segmentation. From a methodical point of view, his focus lies on finite mixture models, hierarchical Bayesian models, semi- and nonparametric regression, and combinatorial optimization. He has published his work widely in refereed journals. In the Handelsblatt Ranking (2009) for business economists, he was listed among the top 200 researchers at universities in Germany, Austria, and Switzerland.

 

Maurizio Vichi
Professor of Statistics
Sapienza University of Rome, Italy
http://www.dss.uniroma1.it/?q=en/node/136

Maurizio Vichi is full professor of statistics at Sapienza University of Rome. He is President of the Federation of European National Statistical Societies (FENStatS) and former President of the Italian Statistical Society. He is President Elect of the International Federation of Classification Societies; Editor of the international Journal Advances in Data Analysis and Classification; Editor of the International Series: Classification, Data Analysis and Knowledge Organization, printed by Springer; Editor of the new series Studies in Theoretical and Applied Statistics, printed by Springer and founded together with French Statistical Society, Italian Statistical Society, Spanish Statistical Society and Portuguese Statistical Society. He is member of CUIS (Committee of Users of Statistics of Istat).

 

 

Scientific Program Committee

Scientific Program Chair
Berthold Lausen (University of Essex, UK)

Statistics and Data Analysis:
Claus Weihs (TU Dortmund University, Germany)
Eva Ceulemans (KU Leuven, Belgium)
Christian Hennig (University College London, UK)
Patrice Bertrand (Paris Dauphine University, France)

Machine Learning and Knowledge Discovery:
Myra Spiliopoulou (Otto von Guerike University of Magdeburg, Germany)
Mohamed Nadif (Paris Descartes University, France)
Eyke Hüllermeier (Philipps-Universität Marburg, Germany)

Data Analysis in Marketing:
Daniel Baier (Brandenburg University of Technology, Germany)
Reinhold Decker (Bielefeld University, Germany)
Vincenzo Esposito Vinzi (ESSEC Business School, France)

Data Analysis in Finance:
Krzysztof Jajuga (Wroclaw University of Economics, Poland)
Michael Hanke (University of Liechtenstein, Liechtenstein)

Data Analysis in Biostatistics and Bioinformatics:
Hans Kestler (Ulm University, Germany)
Rudi Balling (University of Luxembourg, Luxembourg)
Rainer Spang (Universität Regensburg, Germany)
Matthias Schmid (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)
Amedeo Napoli (National Institute for Research in Computer Science and Control, France)

Data Analysis in Interdisciplinary Domains:
Sabine Krolak-Schwerdt (University of Luxembourg, Luxembourg)
Claus Weihs (TU Dortmund University, Germany)
Alexandra Schwarz (Leibniz Institute for Educational Research and Educational Information, Germany)
Hans-Joachim Mucha (Weierstrass Institute for Applied Analysis and Stochastics, Germany)
Pascale Kuntz-Cosperec (Polytech Nantes, France)

 

LIS Scientific Program Committee

Frank Scholze, Chair (Karlsruhe Institute of Technology, Germany)
Ewald Brahms (University of Hildesheim, Germany)
Andreas Geyer-Schulz (Karlsruhe Institute of Technology, Germany)
Stefan Gradmann (Humboldt-Universität zu Berlin, Germany)
Hans-Joachim Hermes (Chemnitz University of Technology, Germany)
Monika Lösse (German National Library, Germany)
Bernd Lorenz (University of Applied Sciences for Public Administration and Legal Affairs in Bavaria, Germany)
Michael Mönnich (Karlsruhe Institute of Technology, Germany)
Marie-Pierre Pausch (University of Luxembourg, Luxembourg)
Sylvia van Peteghem (Ghent University, Belgium)
Heidrun Wiesenmüller (Stuttgart Media University, Germany)

 

Conference Proceedings

All authors of accepted abstracts are invited to submit full papers (contributed papers up to 10 pages; key-note lectures up to 14 pages). Please note that all full papers will undergo a reviewing process. Accepted papers will be published in the Springer SeriesStudies in Classification, Data Analysis, and Knowledge Organization which will be released in 2014. Please find the manuscript guidelines here. We advise all authors interested to contribute to pay attention to the mandatory deadlines. Participants registered as member or regular will receive a free copy.