Social sensing : building reliable systems on unreliable data / [electronic resource] Dong Wang, Tarek Abdelzaher, Lance Kaplan. Building reliable systems on unreliable data Wang, Dong, author. Abdelzaher, Tarek, author. Kaplan, Lance, author. Social media. Data mining. Big data. QA76.585 004.7 23 Includes bibliographical references and index. Online resource; title from title page (Safari, viewed May 8, 2015). 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. 2015 Text 1 online resource (1 volume) : http://www.sciencedirect.com/science/book/9780128008676 eng Social Sensing : Building Reliable Systems on Unreliable Data. Social Sensing : Building Reliable Systems on Unreliable Data.