Social Sensing - Building Reliable Systems on Unreliable Data (Paperback)

Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion.

General

Imprint:	Morgan Kaufmann Publishers In
Country of origin:	United States
Release date:	March 2015
Authors:	Dong Wang • Tarek Abdelzaher • Lance Kaplan
Dimensions:	235 x 191 x 13mm (L x W x T)
Format:	Paperback
Pages:	232
ISBN-13:	978-0-12-800867-6
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	0-12-800867-9
Barcode:	9780128008676

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