print

A systematic assessment of numerical association rule mining methods

author
Kaushik, Minakshi
Sharma, Rahul
Arakkal Peious, Sijo
Shahin, Mahtab
Ben Yahia, Sadok
Draheim, Dirk
statement of authorship
Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Mahtab Shahin, Sadok Ben Yahia & Dirk Draheim
source
SN Computer Science
publisher
Springer
journal volume number month
vol. 2, 5
year of publication
2021
pages
art. 348
url
https://doi.org/10.1007/s42979-021-00725-2
subject term
andmekaeve
andmebaasid
algoritmid
keyword
knowledge discovery in databases
data mining
association rule mining
numerical association rule mining
quantitative association rule mining
ISSN
2661-8907
notes
Bibliogr.: 77 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at scopus
category (general)
Computer science
category (sub)
Computer science. Computational theory and mathematics
Computer science. General computer science
Computer science. Computer graphics and computer-aided design
Computer science. Computer science applications
Computer science. Computer networks and communications
Computer science. Artificial intelligence
kvartiil
Q2
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Information systems group
Data science group
Kaushik, M., Sharma, R., Arakkal Peious, S., Shahin, M., Yahia, S. B., Draheim, D. A systematic assessment of numerical association rule mining methods // SN Computer Science (2021) vol. 2, 5, art. 348. https://doi.org/10.1007/s42979-021-00725-2