eprintid: 4042
rev_number: 7
eprint_status: archive
userid: 307
dir: disk0/00/00/40/42
datestamp: 2020-08-02 06:19:51
lastmod: 2020-08-02 06:19:51
status_changed: 2020-08-02 06:19:51
type: conference_item
metadata_visibility: show
creators_name: Bui, Hong-Nhung
creators_name: Vu, Trong-Sinh
creators_name: Nguyen, Hien-Hanh
creators_name: Nguyen, Tri-Thanh
creators_name: Ha, Quang-Thuy
corp_creators: Trường Đại học Công nghệ, ĐHQGHN
corp_creators: Học viện Ngân hàng
title: Exploiting CBOW and LSTM Models to Generate Trace Representation for Process Mining
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: In the field of process mining, one of the challenges of the trace representation problem is to exploit a lot of potentially useful information within the traces while keeping a low dimension of the corresponding vector space. Motivated by the initial results of applying the deep neural networks for producing trace representation, in this paper, we continue to study and apply two more advanced models of deep learning, i.e., Continuous Bag of Words and Long short-term memory, for generating the trace representation. The experimental results have achieved significant improvement, i.e., not only showing the close relationship between the activities in a trace but also helping to reduce the dimension of trace representation.
date: 2020-03-03
date_type: published
official_url: http://dx.doi.org/10.1007/978-981-15-3380-8_4
id_number: 10.1007/978-981-15-3380-8_4
full_text_status: none
pres_type: paper
volume: 1178
pagerange: 35-46
event_title: Asian Conference on Intelligent Information and Database Systems
event_location: Phuket, Thailand
event_dates: 23-26 March, 2020
event_type: conference
refereed: TRUE
issn: 1865-0929
book_title: Intelligent Information and Database Systems
citation:   Bui, Hong-Nhung and Vu, Trong-Sinh and Nguyen, Hien-Hanh and Nguyen, Tri-Thanh and Ha, Quang-Thuy  (2020) Exploiting CBOW and LSTM Models to Generate Trace Representation for Process Mining.  In: Asian Conference on Intelligent Information and Database Systems, 23-26 March, 2020, Phuket, Thailand.