ActOnAir – Sequential Pattern Mining and Classification with SAP HANA
Meinel, Christoph; Polze,Andreas; Oswald, Gerhard; Strotmann, Rolf; Seibold, Ulrich; Schulzki, Bernhard (Hrsg). HPI Future SOC Lab : Proceedings 2016. Potsdam: Universität Potsdam 2018 S. 97 - 102
Erscheinungsjahr: 2018
Publikationstyp: Buchbeitrag (Konferenzband)
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. Applied data mining techniques are sequential pattern mining and classification with decision trees. This contribution describes details of the implementation of the mining components with SAP HANA.
Klassifikation
DFG Fachgebiet:
Informatik
DDC Sachgruppe:
Informatik
