Independent path-based process recommendation algorithm for improving biomedical process modelling
Process recommendation is an important technique in business process management (BPM), which can be introduced to support modelling biomedical processes. However, most existing process recommendation algorithms in terms of behaviour (what tasks need to be executed in what order) suffer from the prob...
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| Published in | Electronics letters Vol. 56; no. 11; pp. 531 - 533 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
The Institution of Engineering and Technology
28.05.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0013-5194 1350-911X 1350-911X |
| DOI | 10.1049/el.2019.3978 |
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| Abstract | Process recommendation is an important technique in business process management (BPM), which can be introduced to support modelling biomedical processes. However, most existing process recommendation algorithms in terms of behaviour (what tasks need to be executed in what order) suffer from the problem of state-space explosion when unfolding a process with many parallel patterns. To address this issue, the authors propose an independent path-based process recommendation algorithm to speed up the biomedical process recommendation while guaranteeing the accuracy. The experimental results of the proposed algorithm showed higher accuracy and better efficiency than the state-of-the-art algorithms. |
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| AbstractList | Process recommendation is an important technique in business process management (BPM), which can be introduced to support modelling biomedical processes. However, most existing process recommendation algorithms in terms of behaviour (what tasks need to be executed in what order) suffer from the problem of state‐space explosion when unfolding a process with many parallel patterns. To address this issue, the authors propose an independent path‐based process recommendation algorithm to speed up the biomedical process recommendation while guaranteeing the accuracy. The experimental results of the proposed algorithm showed higher accuracy and better efficiency than the state‐of‐the‐art algorithms. |
| Author | Cao, Bin Deep, Samundra Wang, Jiaxing Tan, Dapeng Fan, Jing |
| Author_xml | – sequence: 1 givenname: Jiaxing surname: Wang fullname: Wang, Jiaxing organization: Zhejiang University of Technology, Hangzhou, People's Republic of China – sequence: 2 givenname: Dapeng orcidid: 0000-0002-6018-9648 surname: Tan fullname: Tan, Dapeng organization: Zhejiang University of Technology, Hangzhou, People's Republic of China – sequence: 3 givenname: Bin surname: Cao fullname: Cao, Bin organization: Zhejiang University of Technology, Hangzhou, People's Republic of China – sequence: 4 givenname: Jing surname: Fan fullname: Fan, Jing email: fanjing@zjut.edu.cn organization: Zhejiang University of Technology, Hangzhou, People's Republic of China – sequence: 5 givenname: Samundra surname: Deep fullname: Deep, Samundra organization: Macquarie University, Sydney, Australia |
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| Cites_doi | 10.1016/j.compind.2010.01.001 10.1109/TSC.2016.2597143 |
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| Keywords | recommender systems biomedical process recommendation independent path-based process recommendation algorithm business process management parallel patterns medical computing business data processing biomedical process modelling |
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| SubjectTerms | biomedical process modelling biomedical process recommendation Biomedical technology business data processing business process management independent path‐based process recommendation algorithm medical computing parallel patterns recommender systems |
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| Title | Independent path-based process recommendation algorithm for improving biomedical process modelling |
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