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Social sensing : building reliable systems on unreliable data /

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Wang, Dong (Author), Abdelzaher, Tarek (Author), Kaplan, Lance (Author)
Format: Electronic eBook
Language:Inglés
Published: Waltham, MA : Morgan Kaufmann, [2015]
Edition:First edition.
Subjects:
Online Access:Texto completo
Texto completo
Description
Summary: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.
Physical Description:1 online resource (1 volume) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9780128011317
0128011319
0128008679
9780128008676