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Titlebook: Advanced Information Systems Engineering; 34th International C Xavier Franch,Geert Poels,Monique Snoeck Conference proceedings 2022 Springe

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发表于 2025-3-21 18:04:49 | 显示全部楼层 |阅读模式
期刊全称Advanced Information Systems Engineering
期刊简称34th International C
影响因子2023Xavier Franch,Geert Poels,Monique Snoeck
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advanced Information Systems Engineering; 34th International C Xavier Franch,Geert Poels,Monique Snoeck Conference proceedings 2022 Springe
影响因子This book constitutes the refereed proceedings of the 34th International Conference on Advanced Information Systems Engineering, CAiSE 2022, which was held in Leuven, Belgium, during June 6-10, 2022..The 31 full papers included in these proceedings were selected from 203 submissions. They were organized in topical sections as follows: Process mining; sustainable and explainable applications; tools and methods to support research and design; process modeling; natural language processing techniques in IS engineering; process monitoring and simulation; graph and network models; model analysis and comprehension; recommender systems; conceptual models, metamodels and taxonomies; and services engineering and digitalization..
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书目名称Advanced Information Systems Engineering影响因子(影响力)




书目名称Advanced Information Systems Engineering影响因子(影响力)学科排名




书目名称Advanced Information Systems Engineering网络公开度




书目名称Advanced Information Systems Engineering网络公开度学科排名




书目名称Advanced Information Systems Engineering被引频次




书目名称Advanced Information Systems Engineering被引频次学科排名




书目名称Advanced Information Systems Engineering年度引用




书目名称Advanced Information Systems Engineering年度引用学科排名




书目名称Advanced Information Systems Engineering读者反馈




书目名称Advanced Information Systems Engineering读者反馈学科排名




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Conference proceedings 2022ss modeling; natural language processing techniques in IS engineering; process monitoring and simulation; graph and network models; model analysis and comprehension; recommender systems; conceptual models, metamodels and taxonomies; and services engineering and digitalization..
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Albert Evrard sj,Clémence Lacourtracted using existing NLP and ML techniques and (ii) contextual knowledge to capture the different classes of complex intents. We devise a context knowledge service to capture the requisite contextual knowledge.
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Service Placement and Managements analysis and optimization. So far, decision discovery has been merely based on data elements that are measured at a single point in time. However, as cases from different application areas show, process behavior and process outcomes might be heavily influenced by additional data such as sensor str
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