Social sensing : building reliable systems on unreliable data /

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Bibliographic Details
Author / Creator:Wang, Dong, author.
Edition:First edition.
Imprint:Waltham, MA : Morgan Kaufmann, [2015]
©2015
Description:1 online resource (1 volume) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13637296
Hidden Bibliographic Details
Varying Form of Title:Building reliable systems on unreliable data
Other authors / contributors:Abdelzaher, Tarek, author.
Kaplan, Lance, author.
ISBN:9780128011317
0128011319
0128008679
9780128008676
9780128008676
Notes:Includes bibliographical references and index.
Online resource; title from title page (Safari, viewed May 8, 2015).
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.
Other form:Print version: Wang, Dong. Social Sensing : Building Reliable Systems on Unreliable Data. Burlington : Elsevier Science, ©2015 9780128008676