Crowdsourced Data Management: Hybrid Machine-Human Computing eBook
$99.00 Original price was: $99.00.$17.00Current price is: $17.00.
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Author(s): Guoliang Li; Jiannan Wang; Yudian Zheng; Ju Fan; Michael J. Franklin
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Publisher: Springer
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Print ISBN: 9789811078460, 9811078467
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eText ISBN: 9789811078477, 9811078475
Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please send contact us.
Compatible Devices: Can be read on any devices
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.
This is a digital product.
Crowdsourced Data Management: Hybrid Machine-Human Computing is written by Guoliang Li; Jiannan Wang; Yudian Zheng; Ju Fan; Michael J. Franklin and published by Springer. The Digital and eTextbook ISBNs for Crowdsourced Data Management are 9789811078477, 9811078475 and the print ISBNs are 9789811078460, 9811078467.
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