%0 Journal Article
%@ ISSN: 0973-5763
%A Bui, Hong Nhung
%A Ha, Quang Thuy
%A Nguyen, Tri Thanh
%D 2018
%F SisLab:3160
%I The Pushpa Publishing House
%J JP Journal of Heat and Mass Transfer
%N 3
%P 341-346
%T A novel similarity measure for trace clustering based on normalized google distance.
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3160/
%V Specia
%X 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.