Business process recommendation method based on cost constraints-Reference-Cited by-同舟云学术

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Business process recommendation method based on cost constraints

Published:2022-10-13 Issue:1 Volume:34 Page:2520-2537
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Wang Qianqian¹^ORCID,Shao Chifeng²^ORCID,Fang Xianwen²^ORCID,Zhang Huamin¹^ORCID

Affiliation:

1. College of information & Network Engineering, Anhui Science and Technology University, Bengbu, People’s Republic of China

2. Mathematics and Big Data, Anhui University of Science and Technology, Huainan, People’s Republic of China

Funder

National Natural Science Foundation

Natural Science Foundation of Anhui Province

the Key Project of Anhui Provincial Department of Education

Scientific research project of Anhui Science and Technology University

Talent introduction project of Anhui Science and Technology University

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2133083

Reference31 articles.

1. Development of Distance Measures for Process Mining, Discovery and Integration

2. Similarity assessment and efficient retrieval of semantic workflows

3. Chen, X., Lu, R., Ma, X. & Pang, J. (2014). Measuring user similarity with trajectory patterns: Principles and new metrics. In L. Chen, Y. Jia, T. Sellis, and G. Liu (Eds.), Web technologies and applications (pp. 437–448). Springer International Publishing. https://doi.org/10.1007/978-3-319-11116-2_38

4. Automatic Composition of Semantic Web Services Based on Fuzzy Predicate Petri Nets

5. Dijkman, R., Dumas, M. & García-Bañuelos, L. (2009). Graph matching algorithms for business process model similarity search. In U. Dayal, J. Eder, J. Koehler, and H. A. Reijers (Eds.), Business process management (pp. 48–63). Springer. https://doi.org/10.1007/978-3-642-03848-8_5

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2. Discovery of process variants based on trace context tree;Connection Science;2023-04-11

3. A Novel Process Recommendation Method That Integrates Disjoint Paths and Sequential Patterns;Applied Sciences;2023-03-19

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