1.

Record Nr.

UNINA9910299297403321

Autore

Li Guoliang

Titolo

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

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018

ISBN

981-10-7847-5

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (169 pages)

Disciplina

658.4038

Soggetti

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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

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.