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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteiligte Personen: Wang, Dong (VerfasserIn), Abdelzaher, Tarek (VerfasserIn), Kaplan, Lance (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Waltham, MA Morgan Kaufmann [2015]
Ausgabe:First edition.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9780128008676/?ar
Zusammenfassung: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.
Beschreibung:Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed May 8, 2015)
Umfang:1 Online-Ressource (1 volume) illustrations
ISBN:9780128011317
0128011319
0128008679
9780128008676