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Titlebook: Computer Supported Cooperative Work and Social Computing; 16th CCF Conference, Yuqing Sun,Tun Lu,Liping Gao Conference proceedings 2022 Spr

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发表于 2025-3-21 16:17:38 | 显示全部楼层 |阅读模式
书目名称Computer Supported Cooperative Work and Social Computing
副标题16th CCF Conference,
编辑Yuqing Sun,Tun Lu,Liping Gao
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Computer Supported Cooperative Work and Social Computing; 16th CCF Conference, Yuqing Sun,Tun Lu,Liping Gao Conference proceedings 2022 Spr
描述The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis..The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections:.Volume I:.Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications;.Volume II: .Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities..
出版日期Conference proceedings 2022
关键词artificial intelligence; machine learning; information networks; information security; cryptology; inform
版次1
doihttps://doi.org/10.1007/978-981-19-4549-6
isbn_softcover978-981-19-4548-9
isbn_ebook978-981-19-4549-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2022
The information of publication is updating

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Cache Optimization Based on Linear Regression and Directed Acyclic Task Graphred a bottleneck. The current algorithms show poor results on large-scale datasets. In this paper, machine learning technology is applied to the hit strategy of Cache. The calculation task is converted into a DAG graph, and then the DAG graph is represented by an adjacency matrix, and the multiple l
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Multi-objective Optimization of Ticket Assignment Problem in Large Data Centersucial to design multi-objective ticket scheduling algorithms to maximize the total matching degree and minimize the total flowtime. However, most of existing methods for assignment problems only consider single objective, while some methods optimizing multi-objectives are not for the same objectives
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