relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3160/
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)
subject: Scopus-indexed journals
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.
publisher: The Pushpa Publishing House
date: 2018-08
type: Article
type: NonPeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3160/1/18_9_An%20novel%20similarity%20measure%20for%20trace%20clustering%20based%20on%20Normalized%20Google%20Distance.pdf
identifier:   Bui, Hong Nhung and Ha, Quang Thuy and Nguyen, Tri Thanh  (2018) A novel similarity measure for trace clustering based on normalized google distance.  JP Journal of Heat and Mass Transfer, Specia  (3).   pp. 341-346.  ISSN ISSN: 0973-5763     
relation: http://www.pphmj.com/abstract/11903.htm