print

Impact-driven discretization of numerical factors : case of two- and three-partitioning

author
Kaushik, Minakshi
Sharma, Rahul
Arakkal Peious, Sijo
Draheim, Dirk
statement of authorship
Minakshi Kaushik, Rahul Sharma, Sijo Arakkal Peious, Dirk Draheim
source
Big Data Analytics. BDA 2021 : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021 : proceedings
location of publication
Cham
publisher
Springer
year of publication
2021
pages
p. 244–260
series
Lecture notes in computer science ; 13147
conference name, date
9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021
url
https://doi.org/10.1007/978-3-030-93620-4_18
subject term
tehisõpe
andmeanalüüs
andmekaeve
analüütilised meetodid
Scopus
Conference Proceedings at Scopus
Article at Scopus
kvartiil
Q3
category (general)
Computer science
Mathematics
category (sub)
Computer science. General computer science
Mathematics. Theoretical computer science
keyword
discretization
partitioning
numerical attributes
data mining
machine learning
association rule mining
ISSN
0302-9743
ISBN
978-3-030-93619-8
notes
Bibliogr.: 24 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Information systems group
Kaushik, M., Sharma, R., Arakkal Peious, S., Draheim, D. Impact-driven discretization of numerical factors : case of two- and three-partitioning // Big Data Analytics. BDA 2021 : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021 : proceedings. Cham : Springer, 2021. p. 244–260. (Lecture notes in computer science ; 13147). https://doi.org/10.1007/978-3-030-93620-4_18