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

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樓主: 指責
21#
發(fā)表于 2025-3-25 06:45:08 | 只看該作者
1865-1348 ystems, 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 r
22#
發(fā)表于 2025-3-25 09:20:29 | 只看該作者
23#
發(fā)表于 2025-3-25 11:56:49 | 只看該作者
https://doi.org/10.1007/978-4-431-55831-6rks for big and smart data in distributed environments and presents a benchmark between two frameworks - Apache Flink and Apache Spark - based on a mixed workload with algorithms from different analytic areas with different real-world datasets.
24#
發(fā)表于 2025-3-25 18:50:11 | 只看該作者
25#
發(fā)表于 2025-3-25 22:55:20 | 只看該作者
John Gergely,Zenon Grabarek,Terence Taowhich make them fade away as the Web evolves. In this paper, we present a proposal that relies on an open catalogue of features that allows to adapt it easily; we have also devised an optimisation that allows it to be very efficient. Our experimental results prove that our proposal outperforms other state-of-the-art proposals.
26#
發(fā)表于 2025-3-26 00:36:49 | 只看該作者
27#
發(fā)表于 2025-3-26 06:06:59 | 只看該作者
28#
發(fā)表于 2025-3-26 08:46:35 | 只看該作者
29#
發(fā)表于 2025-3-26 14:59:58 | 只看該作者
On Extracting Information from Semi-structured Deep Web Documentswhich make them fade away as the Web evolves. In this paper, we present a proposal that relies on an open catalogue of features that allows to adapt it easily; we have also devised an optimisation that allows it to be very efficient. Our experimental results prove that our proposal outperforms other state-of-the-art proposals.
30#
發(fā)表于 2025-3-26 16:58:33 | 只看該作者
Thiaxanthenones: Miracil D and Hycanthonent technologies like Big Data or cloud-computing are drivers for the individual potential of use of Industry 4.0. Furthermore mass customization as well as the use of idle data and production time improvement are strong influence factors to the potential of Industry 4.0. On the other hand business process complexity has a negative influence.
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