Open AccessIndependent path‐based process recommendation algorithm for improving biomedical process modelling
Author(s) -
Wang Jiaxing,
Tan Dapeng,
Cao Bin,
Fan Jing,
Deep Samundra
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2019.3978
Subject(s) - process (computing) , computer science , path (computing) , algorithm , business process management , process modeling , business process , recommender system , data mining , state (computer science) , process mining , business process modeling , work in process , machine learning , engineering , operating system , operations management , programming language
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.