- AutorIn
- Holger J. Meyer
- Hannes Gruner
- Tim Waizenegger
- Lucas Woltmann
- Claudio Hartmann
- Wolfgang Lehner
- Mahdi Esmailoghli
- Sergey Redyuk
- Ricardo Martinez
- Ziawasch Abedjan
- Ariane Ziehn
- Tilmann Rabl
- Volker Markl
- Christian Schmitz
- Dhiren Devinder Serai
- Tatiane Escobar Gava
- Titel
- Particulate Matter Matters
- Untertitel
- The Data Science Challenge @ BTW 2019
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-860384
- Quellenangabe
- Datenbank-Spektrum
Erscheinungsjahr: 2019
Jahrgang: 19
Seiten: 165-182
E-ISSN: 1610-1995 - Erstveröffentlichung
- 2019
- Abstract (EN)
- 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.
- Andere Ausgabe
- Link zum Artikel der zuerst in der Zeitschrift 'Datenbank-Spektrum' bei Springer Link erschienen ist.
DOI: 10.1007/s13222-019-00322-x - Freie Schlagwörter (DE)
- BTW 2019, Datenwissenschaftliche Herausforderung, Großdatenanalyse, Feinstaub, Fahrverbote
- Freie Schlagwörter (EN)
- BTW 2019, Data Science Challenge, Big Data Analytics, Particulate matter, Driving bans
- Klassifikation (DDC)
- 004
- Verlag
- Springer, Berlin
- Förder- / Projektangaben
- Bundesministerium für Verkehr und digitale Infrastruktur (BMVI)
mFUND DAYSTREAM
ID: 19F2031D - Berlin Center for Machine Learning (BZML)
ID: 01IS18037A - Berlin Big Data Center (BBCD)
ID: 01IS18025A - Einstein Center Digital Future (ECDF)
- HEIBRiDS graduate school
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-860384
- Veröffentlichungsdatum Qucosa
- 15.06.2023
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis