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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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发表于 2025-3-21 19:05:27 | 显示全部楼层 |阅读模式
期刊全称Business Information Systems
期刊简称20th International C
影响因子2023Witold Abramowicz
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发行地址Includes supplementary material:
学科分类Lecture Notes in Business Information Processing
图书封面Titlebook: Business Information Systems; 20th International C Witold Abramowicz Conference proceedings 2017 Springer International Publishing AG 2017
影响因子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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书目名称Business Information Systems影响因子(影响力)




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




书目名称Business Information Systems网络公开度




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




书目名称Business Information Systems被引频次




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




书目名称Business Information Systems年度引用




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




书目名称Business Information Systems读者反馈




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




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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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