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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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發(fā)表于 2025-3-21 17:19:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Crowdsourced Data Management
副標(biāo)題Hybrid Machine-Human
編輯Guoliang Li,Jiannan Wang,Michael J. Franklin
視頻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
圖書封面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
關(guān)鍵詞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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沙發(fā)
發(fā)表于 2025-3-21 23:45:08 | 只看該作者
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.
板凳
發(fā)表于 2025-3-22 00:47:12 | 只看該作者
地板
發(fā)表于 2025-3-22 07:16:39 | 只看該作者
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.
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發(fā)表于 2025-3-22 10:33:34 | 只看該作者
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發(fā)表于 2025-3-22 17:02:34 | 只看該作者
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.
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發(fā)表于 2025-3-22 23:27:33 | 只看該作者
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.
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發(fā)表于 2025-3-23 03:43:12 | 只看該作者
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發(fā)表于 2025-3-23 07:32:42 | 只看該作者
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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