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.
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
07月04日
2018
07月06日
2018
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