Social Sensing: Building Reliable Systems on Unreliable Data

By Tarek Abdelzaher, Lance Kaplan, Dong Wang

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.

• Format: Paperback
• Language: English
• ISBN: 0128008679
• ISBN13: 9780128008676
• Release Date: April 2015
• Publisher: Morgan Kaufmann Publishers
• Length: 232 Pages
• Weight: 0.89 lbs.
• Dimensions: 0.5" x 7.5" x 9.3"