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 Thomson Reuters Book Citation Index, Thomson Reuters Conference Proceedings Citation Index, Scopus refereeritud kogumikud)
Viited terviktekstile
Lisainfo
association rules; interestingness measures; imbalanced datasets
Conference Proceedings Citation Index- Science; Scopus