print

Expected vs. unexpected : selecting right measures of interestingness

author
Sharma, Rahul
Kaushik, Minakshi
Arakkal Peious, Sijo
Ben Yahia, Sadok
Draheim, Dirk
statement of authorship
Rahul Sharma, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim
source
Big Data Analytics and Knowledge Discovery : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020 : proceedings
location of publication
Cham
publisher
Springer International Publishing AG
year of publication
2020
pages
p. 38-47
series
Lecture Notes in Computer Science ; 12393
conference name, date
22nd International Conference : DaWaK 2020, September 14–17, 2020
conference location
Bratislava, Slovakia
url
https://doi.org/10.1007/978-3-030-59065-9_4
subject term
andmebaasid
andmeaidad
teadmised
andmehaldus
mõõdistamine
Scopus
Conference Proceedings at Scopus
Article at Scopus
WOS
Conference Proceedings at WOS
Article at WOS
kvartiil
Q3
category (general)
Computer science
Mathematics
category (sub)
Computer science. General computer science
Mathematics. Theoretical computer science
keyword
knowledge discovery in databases
association rule mining
measures of interestingness
ISSN
0302-9743
ISBN
978-3-030-59064-2
notes
Bibliogr.: 28 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Information systems group
Data science group
Sharma, R., Kaushik, M., Arakkal Peious, S., Ben Yahia, S., Draheim, D. Expected vs. unexpected : selecting right measures of interestingness // Big Data Analytics and Knowledge Discovery : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020 : proceedings. Cham : Springer International Publishing AG, 2020. p. 38-47. (Lecture Notes in Computer Science ; 12393). https://doi.org/10.1007/978-3-030-59065-9_4