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活动简介

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.

征稿信息

重要日期

2018-04-01
摘要截稿日期
2018-04-30
摘要录用日期
2018-09-15
初稿截稿日期

征稿范围

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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重要日期
  • 会议日期

    07月04日

    2018

    07月06日

    2018

  • 04月01日 2018

    摘要截稿日期

  • 04月30日 2018

    摘要录用通知日期

  • 07月06日 2018

    注册截止日期

  • 09月15日 2018

    初稿截稿日期

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