full record print

Finding indicator diseases of psychiatric disorders in BigData using Clustered Association rule mining

author
statement of authorship
Markus Bertl, Mahtab Shahin, Peeter Ross, Dirk Draheim
source
SAC '23: proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing : Tallinn Estonia, March 27-31, 2023
location of publication
New York
publisher
ACM
year of publication
pages
art. 4, p. 826-833 : tab
conference name, date
SAC '23: proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, March 27-31, 2023
conference location
Tallinn, Estonia
url
ISBN
978-1-4503-9517-5
notes
Bibliogr.: 37 ref
scientific publication
teaduspublikatsioon
language
inglise
Reserch Group
eHealth applications and services research group
Information systems group
Bertl, M., Shahin, M., Ross, P., Draheim, D. Finding indicator diseases of psychiatric disorders in BigData using Clustered Association rule mining // SAC '23: proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing : Tallinn Estonia, March 27-31, 2023. New York : ACM, 2023. art. 4, p. 826-833 : tab. https://doi.org/10.1145/3555776.3577594