Publisher DOI: | 10.1007/978-3-030-25629-6_57 | Title: | Towards visual data science : an exploration | Language: | English | Authors: | Tropmann-Frick, Marina ![]() Andersen, Jakob Smedegaard ![]() |
Editor: | Ahram, Tareq Taiar, Redha Colson, Serge Choplin, Arnaud |
Keywords: | Data science; Visual analytics; Visual interaction; Visualization | Issue Date: | 25-Jul-2019 | Publisher: | Springer | Part of Series: | Human Interaction and Emerging Technologies : Proceedings of the 1st International Conference on Human Interaction and Emerging Technologies (IHIET 2019), August 22-24, 2019, Nice, France | Journal or Series Name: | Advances in intelligent systems and computing | Volume: | 1018 | Startpage: | 371 | Endpage: | 377 | Conference: | International Conference on Human Interaction and Emerging Technologies 2019 | Abstract: | Visual perception is one of the most essential abilities for humans. This ability allows us to discover the world around us and to understand interdependencies with regard to both global context and particular concrete problem statement. We present in this paper an exploration of visualization and visual analytics approaches. Thereby, we focus on the field of data science with data-centric analytic methods and applications. Data science is closing the gap between visualization techniques, traditional hypothesis-driven methods and processing of mostly huge, heterogeneous and noisy data. A combination of smart visualization, advanced analytical methods and additional (domain) knowledge, mostly provided by humans, makes it possible to gain insights and discover new opportunities for problem solving. |
URI: | https://hdl.handle.net/20.500.12738/16086 | ISBN: | 978-3-030-25629-6 978-3-030-25628-9 |
ISSN: | 2194-5365 | Review status: | This version was peer reviewed (peer review) | Institute: | Department Informatik Fakultät Technik und Informatik |
Type: | Chapter/Article (Proceedings) |
Appears in Collections: | Publications without full text |
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