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Social Network Supported Process Recommender System
Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into accou...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914351/ https://www.ncbi.nlm.nih.gov/pubmed/24672309 http://dx.doi.org/10.1155/2014/349065 |
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author | Ye, Yanming Yin, Jianwei Xu, Yueshen |
author_facet | Ye, Yanming Yin, Jianwei Xu, Yueshen |
author_sort | Ye, Yanming |
collection | PubMed |
description | Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. |
format | Online Article Text |
id | pubmed-3914351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39143512014-03-26 Social Network Supported Process Recommender System Ye, Yanming Yin, Jianwei Xu, Yueshen ScientificWorldJournal Research Article Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. Hindawi Publishing Corporation 2014-01-15 /pmc/articles/PMC3914351/ /pubmed/24672309 http://dx.doi.org/10.1155/2014/349065 Text en Copyright © 2014 Yanming Ye et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ye, Yanming Yin, Jianwei Xu, Yueshen Social Network Supported Process Recommender System |
title | Social Network Supported Process Recommender System |
title_full | Social Network Supported Process Recommender System |
title_fullStr | Social Network Supported Process Recommender System |
title_full_unstemmed | Social Network Supported Process Recommender System |
title_short | Social Network Supported Process Recommender System |
title_sort | social network supported process recommender system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914351/ https://www.ncbi.nlm.nih.gov/pubmed/24672309 http://dx.doi.org/10.1155/2014/349065 |
work_keys_str_mv | AT yeyanming socialnetworksupportedprocessrecommendersystem AT yinjianwei socialnetworksupportedprocessrecommendersystem AT xuyueshen socialnetworksupportedprocessrecommendersystem |