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.
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.
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
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
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Shop der buecher.de GmbH & Co. KG Bürgermeister-Wegele-Str. 12, 86167 Augsburg Amtsgericht Augsburg HRA 13309