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Librarians guide graphs data von powell james (5 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Chandos Publishing, 2015

    1843347539 / 9781843347538

    Serie: Buch 155 von 195 - Chandos Information Professional

    • Softcover

    Anbieter: Greenworld Books, arlington, TX, USAGreenworld Books

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    Zustand: Gebraucht - Gut

    EUR 45,51

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    Zustand: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

  • Sprache: Englisch

    Verlag: Chandos Pub, 2015

    1843347539 / 9781843347538

    Serie: Buch 155 von 195 - Chandos Information Professional

    • Softcover

    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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    Zustand: Neu

    EUR 108,52

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    Paperback. Zustand: Brand New. 1st edition. 268 pages. 9.00x6.00x0.50 inches. In Stock.

  • Sprache: Englisch

    Verlag: Elsevier Science, 2015

    1843347539 / 9781843347538

    Serie: Buch 155 von 195 - Chandos Information Professional

    • Softcover

    Anbieter: preigu, Osnabrück, Deutschlandpreigu

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    Zustand: Neu

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    Taschenbuch. Zustand: Neu. A Librarian's Guide to Graphs, Data and the Semantic Web | James Powell | Taschenbuch | Englisch | 2015 | Elsevier Science | EAN 9781843347538 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: Elsevier Science Jul 2015, 2015

    1843347539 / 9781843347538

    Serie: Buch 155 von 195 - Chandos Information Professional

    • Softcover
    • Print-on-Demand

    Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.

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    Zustand: Neu

    EUR 55,00

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    Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web. 268 pp. Englisch.…

  • Sprache: Englisch

    Verlag: Elsevier Science, 2015

    1843347539 / 9781843347538

    Serie: Buch 155 von 195 - Chandos Information Professional

    • Softcover
    • Print-on-Demand

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Zustand: Neu

    EUR 71,16

    EUR 35,00 Versand 
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    Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Graphs are about connections, and are an important part of our connected and data-driven world. A Librarian's Guide to Graphs, Data and the Semantic Web is geared toward library and information science professionals, including librarians, software developers and information systems architects who want to understand the fundamentals of graph theory, how it is used to represent and explore data, and how it relates to the semantic web. This title provides a firm grounding in the field at a level suitable for a broad audience, with an emphasis on open source solutions and what problems these tools solve at a conceptual level, with minimal emphasis on algorithms or mathematics. The text will also be of special interest to data science librarians and data professionals, since it introduces many graph theory concepts by exploring data-driven networks from various scientific disciplines. The first two chapters consider graphs in theory and the science of networks, before the following chapters cover networks in various disciplines. Remaining chapters move on to library networks, graph tools, graph analysis libraries, information problems and network solutions, and semantic graphs and the semantic web.…