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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Saint Louis
Elsevier Science
2015
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| Schlagwörter: | |
| 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. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliabilityPresents novel theoretical foundations for assured social sensing and modeling humans as sensorsIncludes case studies and application examples based on real data setsSupplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Umfang: | 1 online resource (232 pages) |
| ISBN: | 9780128011317 9780128008676 |
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| 520 | |a 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. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliabilityPresents novel theoretical foundations for assured social sensing and modeling humans as sensorsIncludes case studies and application examples based on real data setsSupplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book | ||
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Datensatz im Suchindex
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| any_adam_object | |
| author | Wang, Dong |
| author_facet | Wang, Dong |
| author_role | aut |
| author_sort | Wang, Dong |
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| bvnumber | BV043620089 |
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| dewey-full | 302.3 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 302 - Social interaction |
| dewey-raw | 302.3 |
| dewey-search | 302.3 |
| dewey-sort | 3302.3 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
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| id | DE-604.BV043620089 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:41:01Z |
| institution | BVB |
| isbn | 9780128011317 9780128008676 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029034148 |
| oclc_num | 909802602 |
| open_access_boolean | |
| physical | 1 online resource (232 pages) |
| psigel | ZDB-30-PQE |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Elsevier Science |
| record_format | marc |
| spelling | Wang, Dong Verfasser aut Social Sensing Building Reliable Systems on Unreliable Data Saint Louis Elsevier Science 2015 © 2015 1 online resource (232 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources 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. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliabilityPresents novel theoretical foundations for assured social sensing and modeling humans as sensorsIncludes case studies and application examples based on real data setsSupplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book Datenverarbeitung Information technology Social media -- Data processing Data Mining (DE-588)4428654-5 gnd rswk-swf Social Media (DE-588)4639271-3 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Social Media (DE-588)4639271-3 s Data Mining (DE-588)4428654-5 s Big Data (DE-588)4802620-7 s 1\p DE-604 Abdelzaher, Tarek Sonstige oth Kaplan, Lance Sonstige oth Erscheint auch als Druck-Ausgabe Wang, Dong Social Sensing : Building Reliable Systems on Unreliable Data 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Wang, Dong Social Sensing Building Reliable Systems on Unreliable Data Datenverarbeitung Information technology Social media -- Data processing Data Mining (DE-588)4428654-5 gnd Social Media (DE-588)4639271-3 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4639271-3 (DE-588)4802620-7 |
| title | Social Sensing Building Reliable Systems on Unreliable Data |
| title_auth | Social Sensing Building Reliable Systems on Unreliable Data |
| title_exact_search | 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 |
| title_sort | social sensing building reliable systems on unreliable data |
| title_sub | Building Reliable Systems on Unreliable Data |
| topic | Datenverarbeitung Information technology Social media -- Data processing Data Mining (DE-588)4428654-5 gnd Social Media (DE-588)4639271-3 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Datenverarbeitung Information technology Social media -- Data processing Data Mining Social Media Big Data |
| work_keys_str_mv | AT wangdong socialsensingbuildingreliablesystemsonunreliabledata AT abdelzahertarek socialsensingbuildingreliablesystemsonunreliabledata AT kaplanlance socialsensingbuildingreliablesystemsonunreliabledata |