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Titlebook: Crowdsourced Data Management; Hybrid Machine-Human Guoliang Li,Jiannan Wang,Michael J. Franklin Book 2018 Springer Nature Singapore Pte Ltd

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发表于 2025-3-21 17:19:23 | 显示全部楼层 |阅读模式
书目名称Crowdsourced Data Management
副标题Hybrid Machine-Human
编辑Guoliang Li,Jiannan Wang,Michael J. Franklin
视频videohttp://file.papertrans.cn/241/240458/240458.mp4
概述The first introductory book on crowdsourced data management.Based on the tutorial course ‘Crowdsourced Data Management’ given at SIGMOD 2017.Written by leading experts
图书封面Titlebook: Crowdsourced Data Management; Hybrid Machine-Human Guoliang Li,Jiannan Wang,Michael J. Franklin Book 2018 Springer Nature Singapore Pte Ltd
描述.This book provides an overview of crowdsourced data management. Covering all aspects including the workflow, algorithms and research potential, it particularly focuses on the latest techniques and recent advances. The authors identify three key aspects in determining the performance of crowdsourced data management: quality control, cost control and latency control. By surveying and synthesizing a wide spectrum of studies on crowdsourced data management, the book outlines important factors that need to be considered to improve crowdsourced data management. It also introduces a practical crowdsourced-database-system design and presents a number of crowdsourced operators. Self-contained and covering theory, algorithms, techniques and applications, it is a valuable reference resource for researchers and students new to crowdsourced data management with a basic knowledge of data structures and databases..
出版日期Book 2018
关键词Big Data Management; Crowdsourced Data Management; Human Computation; Hybrid Machine-Human Computation;
版次1
doihttps://doi.org/10.1007/978-981-10-7847-7
isbn_softcover978-981-13-4012-3
isbn_ebook978-981-10-7847-7
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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发表于 2025-3-21 23:45:08 | 显示全部楼层
Crowdsourcing Background,rkflow. Next, Sect. 2.3 introduces some widely used crowdsourcing platforms, and Sect. 2.4 discusses existing tutorials, surveys, and books on crowdsourcing. Finally, Sect. 2.5 presents the optimization goals of crowdsourced data management.
发表于 2025-3-22 00:47:12 | 显示全部楼层
发表于 2025-3-22 07:16:39 | 显示全部楼层
Latency Control,images) may take hours or even days to complete. Thus, another big challenge in crowdsourced data management is latency control, that is, how to reduce job completion time while still keeping good result quality as well as low cost.
发表于 2025-3-22 10:33:34 | 显示全部楼层
发表于 2025-3-22 16:40:25 | 显示全部楼层
发表于 2025-3-22 17:02:34 | 显示全部楼层
Chun Wei Choo,Brian Detlor,Don Turnbull challenges of crowdsourced data management. Section 1.1 provides a motivation of crowdsourcing, and Sect. 1.2 gives a brief overview of crowdsourcing. Finally, Sect. 1.3 introduces research challenges of crowdsourced data management and summarizes existing works.
发表于 2025-3-22 23:27:33 | 显示全部楼层
Chun Wei Choo,Brian Detlor,Don Turnbullrkflow. Next, Sect. 2.3 introduces some widely used crowdsourcing platforms, and Sect. 2.4 discusses existing tutorials, surveys, and books on crowdsourcing. Finally, Sect. 2.5 presents the optimization goals of crowdsourced data management.
发表于 2025-3-23 03:43:12 | 显示全部楼层
发表于 2025-3-23 07:32:42 | 显示全部楼层
Chun Wei Choo,Brian Detlor,Don Turnbullimages) may take hours or even days to complete. Thus, another big challenge in crowdsourced data management is latency control, that is, how to reduce job completion time while still keeping good result quality as well as low cost.
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