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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...
| Cote: | Libro Electrónico |
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| Auteurs principaux: | , , |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Waltham, MA :
Morgan Kaufmann,
[2015]
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| Édition: | First edition. |
| Sujets: | |
| Accès en ligne: | Texto completo Texto completo |
| Résumé: | 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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| Description matérielle: | 1 online resource (1 volume) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780128011317 0128011319 0128008679 9780128008676 |