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Book Overview Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an ...
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.
Book Details Format: Paperback | Pages: 232 | Language: English | Publisher: MORGAN KAUFMANN PUBL INC | ISBN: 0128008679
FormatPaperback
Pages232
LanguageEnglish
ISBN0128008679
EAN9780128008676
PublisherMORGAN KAUFMANN PUBL INC
Publication Date1970-01-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight0.89 Pounds
Length9.25 Inches
Width7.5 Inches
Height0.49 Inches
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