Exploring factors in a crossroad dataset using cluster-based association rule mining

statement of authorship
Mahtab Shahin, Mohammad Reza Heidari Iman, Minakshi Kaushik, Rahul Sharma, Tara Ghasempouri, Dirk Draheim
source
Procedia Computer Science : The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40)
publisher
journal volume number month
vol. 201
year of publication
pages
p. 231-238
conference name, date
13th International Conference on Ambient Systems, Networks and Technologies (ANT) /5th International Conference on Emerging Data and Industry 4.0 (EDI40), 22 March -25 March 2022
conference location
Porto, Portugal
keyword
accident dataset
frequent item generation
ISSN
1877-0509
notes
Bibliogr.: 17 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
3.1
category (general)
kvartiil
Q2
language
inglise
Shahin, M., Heidar Iman, M., Kaushik, M., Sharma, R., Ghasempouri, T., Draheim, D. Exploring factors in a crossroad dataset using cluster-based association rule mining // Procedia Computer Science : The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40) (2022) vol. 201, p. 231-238. https://doi.org/10.1016/j.procs.2022.03.032