print

Grand reports : a tool for generalizing association rule mining to numeric target values

author
Arakkal Peious, Sijo
Sharma, Rahul
Kaushik, Minakshi
Shah, Syed Attique
Ben Yahia, Sadok
statement of authorship
Sijo Arakkal Peious, Rahul Sharma, Minakshi Kaushik, Syed Attique Shah, Sadok Ben Yahia
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 Nature
year of publication
2020
pages
p. 28-37
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_3
subject term
andmekaeve
analüütilised meetodid
andmehaldus
arvutialgebra
tarkvara
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
grand report
association rule mining
relational algebra
ISSN
0302-9743
ISBN
978-3-030-59064-2
notes
Bibliogr.: 13 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Information systems group
Data science group
Arakkal Peious, S., Sharma, R., Kaushik, M., Shah, S.A., Ben Yahia, S. Grand reports : a tool for generalizing association rule mining to numeric target values // Big Data Analytics and Knowledge Discovery : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14-17, 2020 : Proceedings. Cham : Springer Nature, 2020. p. 28-37. (Lecture notes in computer science ; 12393). https://doi.org/10.1007/978-3-030-59065-9_3