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

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

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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) Scopus-indexed journals
Divisions:	Faculty of Information Technology (FIT)
Depositing User:	Hà Quang Thụy
Date Deposited:	14 Nov 2018 04:32
Last Modified:	14 Nov 2018 04:32
URI:	http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3160

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