An insight into biological datamining based on rarity and correlation as constraints
author
Bouasker, Souad
Ben Yahia, Sadok
Diallo, Gayo
statement of authorship
Souad Bouasker, Sadok Ben Yahia, Gayo Diallo
source
SAC '19 : proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
location of publication
New York
publisher
ACM
year of publication
2019
pages
p. 3-10 : ill
conference name, date
The 34rd ACM/SIGAPP Symposium On Applied Computing, 2019/04/08 - 2019/04/12
conference location
Limassol, Cyprus
url
https://doi.org/10.1145/3297280.3297281
subject term
geeniekspressioon
andmekaeve
bioloogilised andmed
korrelatsioonanalüüs
Scopus
https://www.scopus.com/sourceid/89358
https://www.scopus.com/record/display.uri?eid=2-s2.0-85065661785&origin=inward&txGid=ecf6ca43d83e6135b13529f5103510c7
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:000474685800001
quartile
Q3
category (general)
Computer science
Arvutiteadus
category (sub)
Computer science. Software
Arvutiteadus. Tarkvara
keyword
condensed representation
constraints
rarity
correlation
association rule
gene-expression
breast cancer
ISBN
978-1-4503-5933-7
notes
Bibliogr.: 16 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Reserch Group
Data science group