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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/263/262922/262922.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/10.1007/978-981-16-7476-1
isbn_softcover978-981-16-7475-4
isbn_ebook978-981-16-7476-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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An Improved Unsupervised White Blood Cell Classification via Contrastive Learning,ly, the high confidence clustering results are fed back to the pre-trained feature encoder, which can be used as the pseudo labels to form a closed loop. Experimental results on a dataset containing 574 leukocyte images demonstrate the effectiveness of the proposed method.
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SC-VDM: A Lightweight Smart Contract Vulnerability Detection Model,e test SC-VDM on two datasets which each contain four types of smart contract vulnerabilities. The experimental results show that the accuracy and F1-score can reach more than 81% and 86% on two datasets. It performs best on the Reentrancy vulnerability which had caused The DAO attack in 2016, and t
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A Video Axle Counting and Type Recognition Method Based on Improved YOLOv5S,image stitching methods have a relatively high time cost. To solve this issue, we propose an object detection and tracking method based on YOLOv5s for axle counting and tire type identification. Experimental results show that the proposed method has extremely high accuracy and can meet real-time req
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An Anonymous Communication Scheme Between Nodes Based on Pseudonym and Bilinear Pairing in Big Datae and forward messages to achieve node anonymity. Secondly, based on bilinear mapping operation and hash-based message authentication code (HMAC), we achieved key agreement between nodes and verification of message integrity to protect data security. In addition, we propose the energy-based link dir
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https://doi.org/10.1007/978-3-030-85806-3ristics of packet length. And a prototype is established based on Linphone, which is an open-source VoIP application. Through reality transmission tests, covert messages are delivered effectively, which proves that the CTC based on packet length are feasible.
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