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Crowdsourced Data Management : Hybrid Machine-Human Computing / / by Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan, Michael J. Franklin



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Autore: Li Guoliang Visualizza persona
Titolo: Crowdsourced Data Management : Hybrid Machine-Human Computing / / by Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan, Michael J. Franklin Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (169 pages)
Disciplina: 658.4038
Soggetto topico: Big data
Database management
Computers, Special purpose
Data mining
Mobile computing
Big Data
Database Management
Special Purpose and Application-Based Systems
Data Mining and Knowledge Discovery
Mobile Computing
Persona (resp. second.): WangJiannan
ZhengYudian
FanJu
FranklinMichael J
Nota di contenuto: 1. Introduction -- 2. Crowdsourcing Background. 3. Quality Control -- 4. Cost Control -- 5. Latency Control -- 6. Crowdsourcing Database Systems and Optimization -- 7. Crowdsourced Operators -- Conclusion.
Sommario/riassunto: 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.
Titolo autorizzato: Crowdsourced Data Management  Visualizza cluster
ISBN: 981-10-7847-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299297403321
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