Exploring factors in a crossroad dataset using cluster-based association rule mining
author
Shahin, Mahtab
Heidari Iman, Mohammad Reza
Kaushik, Minakshi
Sharma, Rahul
Ghasempouri, Tara
Draheim, Dirk
statement of authorship
Mahtab Shahin, Mohammad Reza Heidari Iman, Minakshi Kaushik, Rahul Sharma, Tara Ghasempouri, Dirk Draheim
source
Procedia computer science
publisher
Elsevier
journal volume number month
vol. 201
year of publication
2022
pages
p. 231-238 : ill
conference name, date
13th International Conference on Ambient Systems, Networks and Technologies (ANT), 22-25 March 2022
5th International Conference on Emerging Data and Industry 4.0 (EDI40), 22-25 March 2022
conference location
Porto, Portugal
url
https://doi.org/10.1016/j.procs.2022.03.032
subject term
andmekaeve
visualiseerimine
faktoranalüüs
keyword
accident dataset
association rule mining
data mining
frequent item generation
visualization
ISSN
1877-0509
notes
Bibliogr.: 17 ref
Special issue : The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40)
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
3.1
Scopus
https://www.scopus.com/sourceid/19700182801
https://www.scopus.com/record/display.uri?eid=2-s2.0-85132188116&origin=inward&txGid=2f2ed8feec1196d5f8ec3b79fcee4c88
category (general)
Computer science
Arvutiteadus
category (sub)
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
quartile
Q2
TalTech department
arvutisüsteemide instituut
language
inglise
Reserch Group
Information systems group
Centre of dependable computing systems