Reality mining: using big data to engineer a better world
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Massachusetts
The MIT Press
[2014]
|
| Schlagworte: | |
| Online-Zugang: | FHA01 FHI01 Volltext |
| Beschreibung: | Includes bibliographical references and index In this book, the authors explore the positive potential of big data, showing the ways in which the analysis of big data ("reality mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. They describe reality mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they offer a nontechnical explanation of data collection methods and describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. The authors argue that big data, used respectfully and responsibly, can help people live better, healthier, and happier lives. -- |
| Beschreibung: | 1 Online-Ressource (vi, 199 pages) |
| ISBN: | 0262027682 0262324563 1322045119 9780262027687 9780262324564 9781322045115 |
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Eagle, Nathan |
| author_facet | Eagle, Nathan |
| author_role | aut |
| author_sort | Eagle, Nathan |
| author_variant | n e ne |
| building | Verbundindex |
| bvnumber | BV042508768 |
| collection | ZDB-37-IEM |
| ctrlnum | (OCoLC)886539978 (DE-599)BVBBV042508768 |
| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
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| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV042508768 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:23:39Z |
| institution | BVB |
| isbn | 0262027682 0262324563 1322045119 9780262027687 9780262324564 9781322045115 |
| language | English |
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| physical | 1 Online-Ressource (vi, 199 pages) |
| psigel | ZDB-37-IEM ZDB-37-IEM_GB/15 |
| publishDate | 2014 |
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| publisher | The MIT Press |
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| spelling | Eagle, Nathan Verfasser aut Reality mining using big data to engineer a better world by Nathan Eagle and Kate Greene Cambridge, Massachusetts The MIT Press [2014] 1 Online-Ressource (vi, 199 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index In this book, the authors explore the positive potential of big data, showing the ways in which the analysis of big data ("reality mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. They describe reality mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they offer a nontechnical explanation of data collection methods and describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. The authors argue that big data, used respectfully and responsibly, can help people live better, healthier, and happier lives. -- COMPUTERS / General bisacsh COMPUTERS / Database Management / Data Mining bisacsh Gesellschaft Data mining Big data Computer networks Social aspects Information science Social aspects Information science Statistical methods Personenbezogene Daten (DE-588)4173908-5 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Technikbewertung (DE-588)4078176-8 gnd rswk-swf Electronic books Data Mining (DE-588)4428654-5 s Big Data (DE-588)4802620-7 s Personenbezogene Daten (DE-588)4173908-5 s Technikbewertung (DE-588)4078176-8 s 1\p DE-604 Greene, Kate Sonstige oth http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6926931 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Eagle, Nathan Reality mining using big data to engineer a better world COMPUTERS / General bisacsh COMPUTERS / Database Management / Data Mining bisacsh Gesellschaft Data mining Big data Computer networks Social aspects Information science Social aspects Information science Statistical methods Personenbezogene Daten (DE-588)4173908-5 gnd Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd Technikbewertung (DE-588)4078176-8 gnd |
| subject_GND | (DE-588)4173908-5 (DE-588)4428654-5 (DE-588)4802620-7 (DE-588)4078176-8 |
| title | Reality mining using big data to engineer a better world |
| title_auth | Reality mining using big data to engineer a better world |
| title_exact_search | Reality mining using big data to engineer a better world |
| title_full | Reality mining using big data to engineer a better world by Nathan Eagle and Kate Greene |
| title_fullStr | Reality mining using big data to engineer a better world by Nathan Eagle and Kate Greene |
| title_full_unstemmed | Reality mining using big data to engineer a better world by Nathan Eagle and Kate Greene |
| title_short | Reality mining |
| title_sort | reality mining using big data to engineer a better world |
| title_sub | using big data to engineer a better world |
| topic | COMPUTERS / General bisacsh COMPUTERS / Database Management / Data Mining bisacsh Gesellschaft Data mining Big data Computer networks Social aspects Information science Social aspects Information science Statistical methods Personenbezogene Daten (DE-588)4173908-5 gnd Data Mining (DE-588)4428654-5 gnd Big Data (DE-588)4802620-7 gnd Technikbewertung (DE-588)4078176-8 gnd |
| topic_facet | COMPUTERS / General COMPUTERS / Database Management / Data Mining Gesellschaft Data mining Big data Computer networks Social aspects Information science Social aspects Information science Statistical methods Personenbezogene Daten Data Mining Big Data Technikbewertung |
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