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Titlebook: Business Information Systems; 20th International C Witold Abramowicz Conference proceedings 2017 Springer International Publishing AG 2017

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發(fā)表于 2025-3-21 19:05:27 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Business Information Systems
期刊簡稱20th International C
影響因子2023Witold Abramowicz
視頻videohttp://file.papertrans.cn/193/192168/192168.mp4
發(fā)行地址Includes supplementary material:
學科分類Lecture Notes in Business Information Processing
圖書封面Titlebook: Business Information Systems; 20th International C Witold Abramowicz Conference proceedings 2017 Springer International Publishing AG 2017
影響因子This book constitutes the refereed proceedings of the 20.th. International Conference on Business Information Systems, BIS 2017, held in Poznań, Poland, in June 2017. Big Data Analytics helps to understand and enhance enterprises by linking many fields of information technology and business. This year’s conference theme was: Big Data Analytics for Business and Public Administration.?.The 24 full papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: big and smart data; business and enterprise modeling; ICT project management; process management; smart infrastructure; and applications.?.
Pindex Conference proceedings 2017
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書目名稱Business Information Systems影響因子(影響力)




書目名稱Business Information Systems影響因子(影響力)學科排名




書目名稱Business Information Systems網絡公開度




書目名稱Business Information Systems網絡公開度學科排名




書目名稱Business Information Systems被引頻次




書目名稱Business Information Systems被引頻次學科排名




書目名稱Business Information Systems年度引用




書目名稱Business Information Systems年度引用學科排名




書目名稱Business Information Systems讀者反饋




書目名稱Business Information Systems讀者反饋學科排名




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https://doi.org/10.1007/978-3-031-07036-5y as a part of corporate wellness programs. While the adoption of wearable health-tracking systems might improve employees’ wellbeing, the introduction of such systems in organizational settings might also instigate certain tensions, in particular those between privacy and wellbeing, and work and pr
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Shaftesbury’s Conception of Human Thoughtculating the number of facts we use our logical-linguistic model of fact extraction. Basic mathematical means of the model are logical-algebraic equations of the finite predicates algebra. The model allows extracting of simple and complex types of facts in Russian sentences. We experimentally compar
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E. Mokled,G. Chartouni,C. Kassis,R. Rizkely existing discovery techniques only discover a behavioral perspective of processes, where the data perspective is often as a second-class citizen. Besides, these discovery techniques fail to deal with object-centric data with many-to-many relationships. Therefore, in this paper, we aim to discove
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E. Mokled,G. Chartouni,C. Kassis,R. Rizk. However, models are just intermediate assets: deliverables are the actual outputs, but they are typically hand built using information from the models, and following the structures specified in EA methods. This requires manual effort, is error-prone, and results in artifacts that might be out-of-d
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Vladimir Pozhbelko,Ekaterina Kutshat tend to be too generic and technical for most business analysts. For instance, they promote Business Intelligence (BI) mechanisms to extract reports for the analysis of the executed processes, but they typically focus on one process definition at a time. This approach has shortcomings in organis
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