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Titlebook: Business Information Systems; 22nd International C Witold Abramowicz,Rafael Corchuelo Conference proceedings 2019 Springer Nature Switzerla

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發(fā)表于 2025-3-21 19:56:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Business Information Systems
期刊簡稱22nd International C
影響因子2023Witold Abramowicz,Rafael Corchuelo
視頻videohttp://file.papertrans.cn/193/192178/192178.mp4
學(xué)科分類Lecture Notes in Business Information Processing
圖書封面Titlebook: Business Information Systems; 22nd International C Witold Abramowicz,Rafael Corchuelo Conference proceedings 2019 Springer Nature Switzerla
影響因子.The two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019. . The theme of the BIS 2019 was "Data Science for Business Information Systems", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were carefully reviewed and selected from 223 submissions.?.The contributions were organized in topical sections as follows:..Part I: Big Data and Data Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure. . Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences. .
Pindex Conference proceedings 2019
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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(xué)科排名




書目名稱Business Information Systems網(wǎng)絡(luò)公開度




書目名稱Business Information Systems網(wǎng)絡(luò)公開度學(xué)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(xué)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(xué)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(xué)科排名




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Time Series Forecasting by Recommendation: An Empirical Analysis on Amazon Marketplaceh and unevenly spaced TS). This performance is dependent on the similarity measure used and suffers from the same problems that other RSs (e.g., cold-start). However, this approach does not require high computational power to perform and its intuitive conception allows for being deployed with any programming language.
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A Comparative Application of Multi-criteria Decision Making in Ontology Ranking the algorithms have successfully ranked the input ontologies based on their degree/level of complexity. Furthermore, the results portray a strong correlation between the ranking results of the three MCDM algorithms, thereby, providing more insights on the performance of MCDM algorithms in ontology ranking.
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Understanding Requirements and Benefits of the Usage of Predictive Analytics in Management Accountinesults provide an overview of requirements and benefits of PA in MA. In the future, Management Accountants will be able to focus on business partnering, but require advanced statistical knowledge to fully benefit from PA.
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