| 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video | http://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 |  | | 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 | | doi | https://doi.org/10.1007/978-981-10-7847-7 | | isbn_softcover | 978-981-13-4012-3 | | isbn_ebook | 978-981-10-7847-7 | | copyright | Springer Nature Singapore Pte Ltd. 2018 |
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