Novel interestingness measures for mining significant association rules from imbalanced data
Abellatif, Safa; Ben Hassine, Mohamed Ali; Ben Yahia, Sadok (2019). 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). Ed. Barolli, Leonard; Takizawa, Makoto; Xhafa, Fatos; Enokido, Tomoya. Cham: Springer, 172−182. (Advances in Intelligent Systems and Computing; 927).10.1007/978-3-030-15035-8_16.
publitseeritud konverentsiettekanne
Abellatif, Safa; Ben Hassine, Mohamed Ali; Ben Yahia, Sadok
- Inglise
Web, Artificial Intelligence and Network Applications : Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)
Barolli, Leonard; Takizawa, Makoto; Xhafa, Fatos; Enokido, Tomoya
Cham
2194-5357
978-3-030-15034-1
Advances in Intelligent Systems and Computing
927
2019
172–182
Ilmunud
3.1. Artiklid/peatükid lisas loetletud kirjastuste välja antud kogumikes (kaasa arvatud Web of Science Book Citation Index, Web of Science Conference Proceedings Citation Index, Scopus refereeritud kogumikud)
Teadmata
Viited terviktekstile
Lisainfo
association rules; interestingness measures; imbalanced datasets
Conference Proceedings Citation Index- Science; Scopus