TY  - JOUR
ID  - SisLab2817
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2817/
A1  - Bui, Hong Nhung
A1  - Ha, Quang Thuy
A1  - Nguyen, Tri Thanh
Y1  - 2017///
N2  - In trace clustering, a problem of process mining, traditional distance measures only focus on the local relationship between trace pairs. In this paper, we propose a new method to measure the global relationship of the traces based on the Normalized Google Distance. Experimental results show that our method not only outperforms alternatives but also helps to speed up the trace clustering
JF  - Journal of Electronics and Communications
SN  - 0973-7006
TI  - A novel similarity measure for trace clustering based on normalized google distance
AV  - none
ER  -