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Titlebook: Big Data; 7th CCF Conference, Hai Jin,Xuemin Lin,Yihua Huang Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 artificia

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發(fā)表于 2025-3-21 17:37:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Big Data
期刊簡稱7th CCF Conference,
影響因子2023Hai Jin,Xuemin Lin,Yihua Huang
視頻videohttp://file.papertrans.cn/186/185573/185573.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Big Data; 7th CCF Conference,  Hai Jin,Xuemin Lin,Yihua Huang Conference proceedings 2019 Springer Nature Singapore Pte Ltd. 2019 artificia
影響因子.This book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019..The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data application..
Pindex Conference proceedings 2019
The information of publication is updating

書目名稱Big Data影響因子(影響力)




書目名稱Big Data影響因子(影響力)學(xué)科排名




書目名稱Big Data網(wǎng)絡(luò)公開度




書目名稱Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data被引頻次




書目名稱Big Data被引頻次學(xué)科排名




書目名稱Big Data年度引用




書目名稱Big Data年度引用學(xué)科排名




書目名稱Big Data讀者反饋




書目名稱Big Data讀者反饋學(xué)科排名




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Anne Wichmann,Jill House,Toni Rietveldmulti-scale pyramid, can extract features effectively. The CSCR strategy is robust to learn dictionary and detect abnormal behaviors. Experiments on the published dataset and the comparison to other existing methods demonstrate the certain advantages of our method.
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A Constrained Self-adaptive Sparse Combination Representation Method for Abnormal Event Detectionmulti-scale pyramid, can extract features effectively. The CSCR strategy is robust to learn dictionary and detect abnormal behaviors. Experiments on the published dataset and the comparison to other existing methods demonstrate the certain advantages of our method.
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,The “Unfolding Leaf” as Ariadne’s Thread,up. The Laplace Mechanism is also added to the protocol to realize differential location privacy. Node location privacy in WSN is preserved as well as privacy preserving budget is saved. The result of theoretical analysis and contrastive simulation experience shows that the protocol can be useful.
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https://doi.org/10.1007/978-981-15-2265-9sults show that the proposed method can find better solution to place the edge micro datacenter (MDC) compared with the state-of-art server deployment strategies in terms of latency for applications and utilization of resources.
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