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Titlebook: Business Information Systems; 18th International C Witold Abramowicz Conference proceedings 2015 Springer International Publishing Switzerl

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發(fā)表于 2025-3-21 16:31:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Business Information Systems
期刊簡(jiǎn)稱18th International C
影響因子2023Witold Abramowicz
視頻videohttp://file.papertrans.cn/193/192166/192166.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Business Information Processing
圖書封面Titlebook: Business Information Systems; 18th International C Witold Abramowicz Conference proceedings 2015 Springer International Publishing Switzerl
影響因子.This book contains the refereed proceedings of the 18th International Conference on Business Information Systems, BIS 2015, held in Poznań, Poland, in June 2015. The BIS conference series follows trends in academic and business research; thus, the theme of the BIS 2015 conference was “Making Big Data Smarter.” Big data is now a fairly mature concept, recognized and widely used by professionals in both research and industry. Together, they work on developing more adequate and efficient tools for data processing and analyzing, thus turning "big data" into "smart data.".The 26 revised full papers were carefully reviewed and selected from 70 submissions. In addition, two invited papers are included in this book. They are grouped into sections on big and smart data, semantic technologies, content retrieval and filtering, business process management and mining, collaboration, enterprise architecture and business?IT alignment, specific BIS applications, and open data for BIS..
Pindex Conference proceedings 2015
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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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https://doi.org/10.1007/978-4-431-55831-6mputation of huge data volumes, especially for complex algorithms in data mining and machine learning tasks. This paper discuss new processing frameworks for big and smart data in distributed environments and presents a benchmark between two frameworks - Apache Flink and Apache Spark - based on a mi
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Motor, Battery, and Magnetic Suspension,t, typically involves a lot of manual work. In this paper we present an approach for automated equation formulation of a given Causal Loop Diagram (CLD) and a set of associated time series with the help of neural network evolution (NEvo). NEvo enables the automated retrieval of surrogate equations f
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Ali S. Rangwala,Vasudevan Raghavanay increase with the size of data to be handled over the time. Facing this issue, the querying time may be affected and the introduced delay may not be tolerated by running applications. Moreover, the investigation of attacks through the collected massive data could not be ensured using traditional
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https://doi.org/10.1007/978-981-10-1486-4ired from the frame based modeling technique and is serialized in RDF (Resource Description Framework) using Linked Data principles. We apply this model for describing sensor services: modeling sensors and their readings enriched with non-functional properties. We also define a complete architecture
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Mechanism of Muscular Contractions providers. The quality of services directly impacts the business process’s efficiency. A first prerequisite for any optimization initiative requires a better understanding of the deployed business processes. However, the business processes are either not documented at all or are only poorly docume
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