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  • BSZ  (2)
  • English  (2)
  • 2010-2014  (2)
  • 2000-2004
  • Aiden, Erez  (2)
  • Computer Science  (2)
Datasource
Material
Language
  • English  (2)
Years
  • 2010-2014  (2)
  • 2000-2004
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Subjects(RVK)
  • 1
    ISBN: 9781594632907
    Language: English
    Pages: 280 Seiten , Illustrationen , 22 cm
    Edition: First Riverhead trade paperback edition
    Series Statement: Science / Culture studies
    DDC: 302.23/1
    RVK:
    Keywords: Big data Social aspects ; Internet Social aspects ; Culture ; Digital Humanities ; Big Data ; Information Extraction ; Big Data ; Internet
    Abstract: " "One of the most exciting developments from the world of ideas in decades, presented with panache by two frighteningly brilliant, endearingly unpretentious, and endlessly creative young scientists." - Steven Pinker, author of The Better Angels of Our Nature Our society has gone from writing snippets of information by hand to generating a vast flood of 1s and 0s that record almost every aspect of our lives: who we know, what we do, where we go, what we buy, and who we love. This year, the world will generate 5 zettabytes of data. (That's a five with twenty-one zeros after it.) Big data is revolutionizing the sciences, transforming the humanities, and renegotiating the boundary between industry and the ivory tower. What is emerging is a new way of understanding our world, our past, and possibly, our future. In Uncharted, Erez Aiden and Jean-Baptiste Michel tell the story of how they tapped into this sea of information to create a new kind of telescope: a tool that, instead of uncovering the motions of distant stars, charts trends in human history across the centuries. By teaming up with Google, they were able to analyze the text of millions of books. The result was a new field of research and a scientific tool, the Google Ngram Viewer, so groundbreaking that its public release made the front page of The New York Times, The Wall Street Journal, and The Boston Globe, and so addictive that Mother Jones called it "the greatest timewaster in the history of the internet." Using this scope, Aiden and Michel-and millions of users worldwide-are beginning to see answers to a dizzying array of once intractable questions. How quickly does technology spread? Do we talk less about God today? When did people start "having sex" instead of "making love"? At what age do the most famous people become famous? How fast does grammar change? Which writers had their works most effectively censored by the Nazis? When did the spelling "donut" start replacing the venerable "doughnut"? Can we predict the future of human history? Who is better known-Bill Clinton or the rutabaga? All over the world, new scopes are popping up, using big data to quantify the human experience at the grandest scales possible. Yet dangers lurk in this ocean of 1s and 0s-threats to privacy and the specter of ubiquitous government surveillance. Aiden and Michel take readers on a voyage through these uncharted waters"--
    Abstract: "Breaking open Big Data, two Harvard scientists reveal a ground-breaking way of looking at history and culture"--
    Description / Table of Contents: Machine generated contents note: 1.Through The Looking GlassHow many words is a picture worth? -- 2.G. K. Zipf And The Fossil Hunters -- Burnt, baby, burnt -- 3.Armchair Lexicographerologists -- Daddy, where do babysitters come from? -- 4.7.5 Minutes Of Fame -- One giant leapfrog for mankind -- 5.The Sound Of Silence -- Two rights make another right -- 6.The Persistence Of Memory -- Mommy, where do Martians come from? -- 7.Utopia, Dystopia, And Dat(A)Topia.
    Note: Literaturangaben , Verschlagwortung von Ausgabe 2013 übernommen / S1UB
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  • 2
    ISBN: 9781594487453
    Language: English
    Pages: 280 S. , graph. Darst.
    DDC: 302.321
    RVK:
    RVK:
    Keywords: Gesellschaft ; Big data Social aspects ; Internet Social aspects ; Culture ; Information Extraction ; Big Data ; Big Data ; Information Extraction
    Note: Includes bibliographical references (pages 243-272) and index
    Library Location Call Number Volume/Issue/Year Availability
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