Particulate Matter Matters---The Data Science Challenge @ BTW 2019

Meyer, Holger J. and Grunert, Hannes and Waizenegger, Tim and Woltmann, Lucas and Hartmann, Claudio and Lehner, Wolfgang and Esmailoghli, Mahdi and Redyuk, Sergey and Martinez, Ricardo and Abedjan, Ziawasch and Ziehn, Ariane and Rabl, Tilmann and Markl, Volker and Schmitz, Christian and Serai, Dhiren Devinder and Gava, Tatiane Escobar (2019) Particulate Matter Matters---The Data Science Challenge @ BTW 2019. Datenbank-Spektrum. ISSN 1618-2162

Full text not available from this repository.
Official URL: https://doi.org/10.1007/s13222-019-00322-x

Abstract

For the second time, the Data Science Challenge took place as part of the 18th symposium ``Database Systems for Business, Technology and Web'' (BTW) of the Gesellschaft für Informatik (GI). The Challenge was organized by the University of Rostock and sponsored by IBM and SAP. This year, the integration, analysis and visualization around the topic of particulate matter pollution was the focus of the challenge. After a preselection round, the accepted participants had one month to adapt their developed approach to a substantiated problem, the real challenge. The final presentation took place at BTW 2019 in front of the prize jury and the attending audience. In this article, we give a brief overview of the schedule and the organization of the Data Science Challenge. In addition, the problem to be solved and its solution will be presented by the participants.

Item Type: Article
Subjects: Forschungsthemen > Big Data Analytics
Autorenart > DBIS-Publikationen
Depositing User: Dbis Admin
Date Deposited: 09 Aug 2019 05:48
Last Modified: 09 Aug 2019 05:48
URI: http://eprints.dbis.informatik.uni-rostock.de/id/eprint/998

Actions (login required)

View Item View Item