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Social Sensing

Building Reliable Systems on Unreliable Data

  • 1st Edition - March 23, 2015
  • Authors: Dong Wang, Tarek Abdelzaher, Lance Kaplan
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 0 0 8 6 7 - 6
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 0 1 1 3 1 - 7

Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Build… Read more

Social Sensing

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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.