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Social sensing : building reliable systems on unreliable data / Dong Wang, Tarek Abdelzaher, Lance Kaplan.

By: Contributor(s): Material type: TextTextPublisher: Waltham, MA : Morgan Kaufmann, [2015]Description: xviii, 213 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0128008679
  • 9780128008676
Other title:
  • Building reliable systems on unreliable data
Subject(s): DDC classification:
  • 302.30285 23
LOC classification:
  • QA76.76.R44 W36 2015
Online resources:
Contents:
A new information age -- Social Sensing Trends and Applications -- Mathematical foundations of social sensing: An introductory tutorial -- Fact-finding in information networks -- Social Sensing: A maximum likelihood estimation approach -- Confidence bounds in social sensing -- Resolving conflicting observations and non-binary claims -- Understanding the social network
Summary: 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.
Item type: E-Books List(s) this item appears in: IUT Purchased E-Books from Elsevier
Holdings
Item type Current library Shelving location Call number URL Status Date due Barcode Item holds
E-Books IUT Library Virtual (E-Books) Download Available
Total holds: 0

Includes bibliographical references (pages 197-208) and index.

A new information age -- Social Sensing Trends and Applications -- Mathematical foundations of social sensing: An introductory tutorial -- Fact-finding in information networks -- Social Sensing: A maximum likelihood estimation approach -- Confidence bounds in social sensing -- Resolving conflicting observations and non-binary claims -- Understanding the social network

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.

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