relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2817/
title: A novel similarity measure for trace clustering based on normalized google distance
creator: Bui, Hong Nhung
creator: Ha, Quang Thuy
creator: Nguyen, Tri Thanh
subject: Information Technology (IT)
description: 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
date: 2017
type: Article
type: NonPeerReviewed
identifier:   Bui, Hong Nhung and Ha, Quang Thuy and Nguyen, Tri Thanh  (2017) A novel similarity measure for trace clustering based on normalized google distance.  Journal of Electronics and Communications .    ISSN 0973-7006