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Big Data Is Not a Monolith /
"Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but cont...
| Otros Autores: | , , |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Massachusetts :
The MIT Press,
[2016]
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| Colección: | Book collections on Project MUSE.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- I. Big data and individuals
- 1. Big data, consent, and the future of data protection / Fred H. Cate
- 2. When they are your big data : participatory data practices as a lens on big data / Katie Shilton
- 3. Wrong side of the tracks / Simon DeDeo
- II. Big data and society
- 4. What if everything reveals everything? / Paul Ohm and Scott Peppet
- 5. Big data in the sensor society / Mark Burdon and Mark Andrejevic
- 6. Encoding the everyday: the infrastructure apparatus of social data / Cristina Alaimo and Jannis Kallinikos
- III. Big data and science
- 7. Big genomic data and the state / Jorge L. Contreras
- 8. Trust threads: minimal provenance for data publishing and reuse / Beth Plale, Inna Kouper, Allison Goodwell, and Isuru Suriarachchi
- 9. Can we anticipate some unintended consequences of big data? / Kent R. Anderson
- 10. The data gold rush in higher education / Jevin D. West and Jason Portenoy
- IV. Big data and organizations
- 11. Obstacles on the road to corporate data responsibility / M. Lynne Markus
- 12. Will big data diminish the role of humans in decision making? / Michael Bailey
- 13. Big data in medicine: potential, reality, and implications / Dan Sholler, Diane E. Bailey, and Julie Rennecker
- 14. Hal the innovator: big data and its use by artificial intelligence / Ryan Abbott.