@inproceedings{aigner_kava-time_2018, title = {{KAVA}-{Time}: {Knowledge}-{Assisted} {Visual} {Analytics} {Methods} for {Time}-{Oriented} {Data}}, url = {http://ffhoarep.fh-ooe.at/handle/123456789/1070}, abstract = {Visual analytics intertwines interactive visual interfaces with automated data analysis methods in order to support humans in data analysis. How visual analytics can leverage explicit knowledge from domain experts was investigated in the basic research project KAVA-Time. Within its scope, a theoretical model for integrating the users’ knowledge into the visual analytics processes and two cases studies in the application domains IT security and clinical rehabilitation were developed.}, booktitle = {Tagungsband des 12. {Forschungsforum} der österreichischen {Fachhochschulen} ({FFH}) 2018}, author = {Aigner, Wolfgang and Rind, Alexander and Wagner, Markus}, year = {2018}, note = {Projekt: KAVA-Time}, keywords = {Center for Digital Health Innovation, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Digital Technologies, Forschungsgruppe Media Computing, Gait Analysis, Institut für Creative Media Technologies, Visual analytics, Vortrag, Wiss. Beitrag, explicit knowledge, knowledge generation, malware analysis, peer-reviewed, ⛔ No DOI found}, }