European Conference on Data Analysis 2018
Abstr. due: 01.04.2018
Dates: 04.07.18 — 06.07.18
Area Of Sciences: Physics and math;
Organizing comittee e-mail: email@example.com
Organizers: Paderborn University
The next European Conference on Data Analysis (ECDA) will take place in Paderborn, Germany, 4th-6th July, 2018. 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). It will be located in the Heinz Nixdorf MuseumsForum (www.hnf.de), the world’s largest computer museum.
ECDA solicits contributions to theoretical as well as application-oriented research on topics in the realm of data science, with a specific focus on data analytics. With its motto “Multidisciplinary Facets of Data Science”, ECDA 2018 specifically emphasizes the important interplay of disciplines involved in data science, most notably statistics and computer science. Topics of interest include, but are not limited to the following:
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.
Applications: 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: Recent developments in longitudinal data analysis in psychology (Casper Albers), EuADS Symposium on Data Science Education (Rolf Biehler, Sabine Krolak-Schwerdt, Berthold Lausen, Carsten Schulte), Statistical aspects of machine learning methods (Florian Dumpert), Bioinformatics and biostatistics (Dominik Heider), Comparison and benchmarking of cluster analysis methods (Christian Hennig), Data analysis in finance (Krzysztof Jajuga), Visualization for data science (Koji Kurihara, Adalbert Wilhelm), Web Science (Axel Ngonga), Consumer Preferences and Marketing Analytics (Friederike Pätz, Daniel Guhl), Data analysis models in economics and business (Jozef Pociecha), Dimension reduction and visualisation for classification (Niel le Roux).
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