An efficient approach for incremental erasable utility pattern mining from non-binary data
Titel:
An efficient approach for incremental erasable utility pattern mining from non-binary data
Auteur:
Baek, Yoonji Kim, Hanju Cho, Myungha Kim, Hyeonmo Lee, Chanhee Ryu, Taewoong Kim, Heonho Vo, Bay Gan, Vincent W. Fournier-Viger, Philippe Lin, Jerry Chun-Wei Pedrycz, Witold Yun, Unil