Novel interestingness measures for mining significant association rules from imbalanced data

statement of authorship
Safa Abdellatif, Mohamed Ali Ben Hassine, Sadok Ben Yahia
source
Web, Artificial Intelligence and Network Applications :Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)
location of publication
Cham
publisher
year of publication
series
Advances in intelligent systems and computing ; 927
conference name, date
33rd International Conference on Advanced Information Networking and Applications (WAINA-2019), 27-29 March, 2019
conference location
Matsue, Japan
quartile
Q3
category (general)
keyword
ISSN
2194-5357
ISBN
978-3-030-15034-1
notes
Bibliogr.: 10 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
language
inglise
Reserch Group
Abdellatif, S., Ben Hassine, M.A., Ben Yahia, S. Novel interestingness measures for mining significant association rules from imbalanced data // Web, Artificial Intelligence and Network Applications :Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). Cham : Springer Nature, 2019. (Advances in intelligent systems and computing ; 927). https://doi.org/10.1007/978-3-030-15035-8_16