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A novel similarity measure for trace clustering based on normalized google distance

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

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Abstract

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

Item Type: Article
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: Ass. Prof. Tri-Thanh NGUYEN
Date Deposited: 20 Dec 2017 02:59
Last Modified: 20 Dec 2017 02:59
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2817

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