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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 th...

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Detalles Bibliográficos
Autores principales: Wang, Dong, Abdelzaher, Tarek, Kaplan, Lance
Lenguaje:eng
Publicado: Elsevier Science 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2020390
Descripción
Sumario: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 individu