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Titlebook: Data Mining and Big Data; 6th International Co Ying Tan,Yuhui Shi,Jun Cai Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 20

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書(shū)目名稱Data Mining and Big Data
副標(biāo)題6th International Co
編輯Ying Tan,Yuhui Shi,Jun Cai
視頻videohttp://file.papertrans.cn/263/262918/262918.mp4
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Data Mining and Big Data; 6th International Co Ying Tan,Yuhui Shi,Jun Cai Conference proceedings 2021 Springer Nature Singapore Pte Ltd. 20
描述?This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021.?.The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on?advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; communication systems; computer hardware; computer networks; computer security;
版次1
doihttps://doi.org/10.1007/978-981-16-7502-7
isbn_softcover978-981-16-7501-0
isbn_ebook978-981-16-7502-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

書(shū)目名稱Data Mining and Big Data影響因子(影響力)




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書(shū)目名稱Data Mining and Big Data網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Data Mining and Big Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Data Mining and Big Data被引頻次




書(shū)目名稱Data Mining and Big Data被引頻次學(xué)科排名




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Conference proceedings 20212021, held in Guangzhou, China, in October 2021.?.The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on?advantages in theories, technologies, and applications in data mining and big
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A Classic Multi-method Collaborative Obfuscation Strategy,n, a collaborative obfuscation strategy suitable for multiple obfuscation methods is proposed in detail. Finally, we verified that the obfuscation strategy indeed improves the performance of obfuscation through experiments.
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,Certificateless Proxy Authentication Scheme on Lattices Under the?Background of Big Data,ignature scheme on lattices, and puts the scheme into the background of big data to realize authentication. The safety of the problem is proved by using the difficulty of small integer solutions on the lattices. Compared with other existing proxy signature schemes, it has low computational complexity and higher security.
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