Big Data Is Not a Monolith
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics.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 contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies.The advent of big data methodologies has challenge…
Mehr
CHF 38.90
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V106:
Fremdlagertitel. Lieferzeit unbestimmt
Produktdetails
Weitere Autoren: Ekbia, Hamid R. (Hrsg.) / Mattioli, Michael (Hrsg.)
- ISBN: 978-0-262-52948-8
- EAN: 9780262529488
- Produktnummer: 19814727
- Verlag: Mit Pr
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 312 S.
- Masse: H23.0 cm x B17.9 cm x D1.9 cm 489 g
- Gewicht: 489
- Sonstiges: Ab 18 J.
Über den Autor
Cassidy R. Sugimoto is Associate Professor in the School of Informatics and Computing at Indiana University Bloomington and the coeditor of Beyond Bibliometrics (MIT Press).Hamid R. Ekbia is Professor of Informatics, Cognitive Science, and International Studies, and Director of the Center for Research on Mediated Interaction at Indiana University Bloomington. He is the author of Artificial Dreams: The Quest for Non-Biological Intelligence and a coeditor of Big Data Is Not a Monolith (MIT Press).Michael Mattioli is Associate Professor at the Indiana University Maurer School of Law.Diane E. Bailey is Associate Professor in the School of Information at the University of Texas at Austin.
5 weitere Werke von Cassidy R. (Hrsg.) Sugimoto:
Bewertungen
Anmelden