Big Data: A Very Short Introduction - Holmes, Dawn E. (Faculty Member, Department of Statistics and Applie
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An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technology, and also the range of possibilities, challenges, and ethical questions it raises.…mehr

Produktbeschreibung
An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technology, and also the range of possibilities, challenges, and ethical questions it raises.
  • Produktdetails
  • Very Short Introductions
  • Verlag: Oxford University Press
  • Seitenzahl: 152
  • Erscheinungstermin: Dezember 2017
  • Englisch
  • Abmessung: 173mm x 111mm x 15mm
  • Gewicht: 140g
  • ISBN-13: 9780198779575
  • ISBN-10: 0198779577
  • Artikelnr.: 48095277
Autorenporträt
Dawn Holmes is a faculty member in the Department of Statistics and Applied Probability at the University of California, Santa Barbara, specializing in Bayesian networks, machine learning, and data mining. She is the co-editor of a three-volume work, Data Mining: Foundations and Intelligent Paradigms (Springer, 2014), and Associate Editor of the International Journal of Knowledge-Based and Intelligent Information Systems.
Inhaltsangabe
1 The data explosion
2 Why is big data special?
3 Storing big data
4 Big data analysis
5 Big data and medicine
6 Big data, big business
7 Big data security and the Snowden case
8 The internet of things
Byte size chart
References
Further Reading
Index