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Social Sensing: Building Reliable Systems on Unreliable Data
Paperback
Technology & EngineeringDatabasesNetworking
ISBN13: 9780128008676
Publisher: Morgan Kaufmann Publishers
Published: Mar 23 2015
Pages: 232
Weight: 0.89
Height: 0.49 Width: 7.50 Depth: 9.25
Language: English
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.
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