ActOnAir: Data Mining of Environmental Data and Bio-signals
Meinel, Christoph; Polze, Andreas; Oswald, Gerhard; Strotmann, Rolf; Seibold, Ulrich; Schulzki, Bernhard (Hrsg). HPI Future SOC Lab: Proceedings 2016. Potsdam: Universitätsverlag Potsdam 2018 S. 11 - 16
Erscheinungsjahr: 2018
Publikationstyp: Buchbeitrag (Einleitung, Vor- oder Nachwort)
Sprache: Englisch
Doi/URN: https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-406787
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Inhaltszusammenfassung
Goal of the project ActOnAir is the personal guidance of individuals who suffer from asthma and need to reduce their exposure to air pollutants. For this purpose bio-signals and environmental data are captured and analyzed with different data mining techniques. Resulting classification models can then be used for real-time predictions of health risks. This contribution describes the data mining components which are implemented on the in-memory platform SAP HANA.
Klassifikation
DFG Fachgebiet:
4.43 - Informatik
DDC Sachgruppe:
Informatik
