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.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:86038 |
| Date | 15 June 2023 |
| Creators | Meyer, Holger J., Gruner, Hannes, Waizenegger, Tim, Woltmann, Lucas, Hartmann, Claudio, Lehner, Wolfgang, Esmailoghli, Mahdi, Redyuk, Sergey, Martinez, Ricardo, Abedjan, Ziawasch, Ziehn, Ariane, Rabl, Tilmann, Markl, Volker, Schmitz, Christian, Serai, Dhiren Devinder, Gava, Tatiane Escobar |
| Publisher | Springer |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/acceptedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 1610-1995, 10.1007/s13222-019-00322-x, info:eu-repo/grantAgreement/Bundesministerium für Verkehr und digitale Infrastruktur/mFUND/19F2031D//DAYSTREAM |
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