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Book Cover
Author Li, Guoliang (Computer scientist), author.

Title Crowdsourced data management : hybrid machine-human computing / Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan, Michael J. Franklin
Published Singapore : Springer, 2018


Description 1 online resource
Contents Introduction -- Crowdsourcing background -- Quality control -- Cost control -- Latency control -- Crowdsourcing database sytems and optimization -- Crowdsourced operators -- Conclusion
Summary 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed October 17, 2018)
Subject Database management.
Expert systems -- knowledge-based systems.
Data mining.
Mobile & handheld device programming -- Apps programming.
COMPUTERS -- Databases -- General.
Database management
Form Electronic book
Author Wang, Harry (Harry Jiannan), author.
Zheng, Yudian, author
Fan, Ju, author
Franklin, Michael J., author
ISBN 9789811078477