Crowdsourced Data Management Hybrid Machine-Human Computing /

• Κύριοι συγγραφείς: Li, Guoliang (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Wang, Jiannan (http://id.loc.gov/vocabulary/relators/aut), Zheng, Yudian (http://id.loc.gov/vocabulary/relators/aut), Fan, Ju (http://id.loc.gov/vocabulary/relators/aut), Franklin, Michael J. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Big data.; Database management.; Special purpose computers.; Data mining.; Mobile computing.; Big Data.; Database Management.; Special Purpose and Application-Based Systems.; Data Mining and Knowledge Discovery.; Mobile Computing.

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...

Πίνακας περιεχομένων:

• 1. Introduction
• 2. Crowdsourcing Background. 3. Quality Control
• 4. Cost Control
• 5. Latency Control
• 6. Crowdsourcing Database Systems and Optimization
• 7. Crowdsourced Operators
• Conclusion.