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Viser: Crowdsourced Data Management - Hybrid Human-Machine Data Management
Crowdsourced Data Management Vital Source e-bog
Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan og Michael J. Franklin
(2018)
Crowdsourced Data Management
Hybrid Human-Machine Data Management
Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan og Michael J. Franklin
(2018)
Sprog: Engelsk
om ca. 15 hverdage
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Oktober 2018)
- Forfattere: Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan og Michael J. Franklin
- ISBN: 9789811078477
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Hardback
- Udgiver: Springer (Oktober 2018)
- Forfattere: Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan og Michael J. Franklin
- ISBN: 9789811078460
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.
2. Crowdsourcing Background.
3. Quality Control.-
4. Cost Control.-
5. Latency Control.-
6. Crowdsourcing Database Systems and Optimization.-
7. Crowdsourced Operators.- Conclusion.