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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...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Elsevier Science
2015
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2020390 |
_version_ | 1780946845150740480 |
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author | Wang, Dong Abdelzaher, Tarek Kaplan, Lance |
author_facet | Wang, Dong Abdelzaher, Tarek Kaplan, Lance |
author_sort | Wang, Dong |
collection | CERN |
description | 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 |
id | cern-2020390 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
publisher | Elsevier Science |
record_format | invenio |
spelling | cern-20203902021-04-21T20:17:20Zhttp://cds.cern.ch/record/2020390engWang, DongAbdelzaher, TarekKaplan, LanceSocial sensing: building reliable systems on unreliable dataComputing and Computers 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 individuElsevier Scienceoai:cds.cern.ch:20203902015 |
spellingShingle | Computing and Computers Wang, Dong Abdelzaher, Tarek Kaplan, Lance Social sensing: building reliable systems on unreliable data |
title | Social sensing: building reliable systems on unreliable data |
title_full | Social sensing: building reliable systems on unreliable data |
title_fullStr | Social sensing: building reliable systems on unreliable data |
title_full_unstemmed | Social sensing: building reliable systems on unreliable data |
title_short | Social sensing: building reliable systems on unreliable data |
title_sort | social sensing: building reliable systems on unreliable data |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2020390 |
work_keys_str_mv | AT wangdong socialsensingbuildingreliablesystemsonunreliabledata AT abdelzahertarek socialsensingbuildingreliablesystemsonunreliabledata AT kaplanlance socialsensingbuildingreliablesystemsonunreliabledata |