Description

Following previous editions in Luxembourg (2013), Bremen (2014), Colchester (2015), and Wroclaw (2017), the 5th 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 Federation of Classification Societies (IFCS), 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)).

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.

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Important Dates

Draft paper submission deadline:2018-09-15

Abstract submission deadline:2018-04-01

Abstract notification of acceptance:2018-04-30

Topics of submission

DATA ANALYSIS – THEORY AND METHODS:

  • Big Data

  • Clustering, Classification, Discrimination and Regression

  • Data Science

  • Databases and Data Management

  • Data Visualization

  • Dimensionality Reduction

  • Image Analysis and Computer Vision

  • Impact of Technical Revolution, Globalization on Statistical Process

  • Information Retrieval and Library Science

  • Knowledge Representation and Discovery

  • Machine Learning and Knowledge Discovery

  • Mathematical Foundations of Data Science

  • Multivariate Methods

  • Online Algorithms and Algorithms for Data Streams

  • Social Network Analysis

  • Statistical and Econometric Methods

  • Symbolic Data Analysis

  • Text Mining and Web Mining

DATA ANALYSIS – APPLICATIONS:

  • Archeology

  • Biostatistics

  • Business and Management

  • Economics

  • Education

  • Finance

  • Geosciences

  • Linguistics

  • Marketing

  • Medicine and Health Sciences

  • Musicology

  • Psychology

  • Risk Management

  • Social Sciences

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Contact information

  • eyke@upb.de