Computational Movement Analysis by Laube Patrick (17 results)

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    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

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    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

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      Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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    • Language: English

      Published by Springer 2014-09-12, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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      Condition: New. pp. 108.

    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

      Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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      Paperback. Condition: Brand New. 2014 edition. 87 pages. 9.00x6.00x0.50 inches. In Stock.

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      Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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      Taschenbuch. Condition: Neu. Computational Movement Analysis | Patrick Laube | Taschenbuch | SpringerBriefs in Computer Science | xiii | Englisch | 2014 | Springer | EAN 9783319102672 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover

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    • Language: English

      Published by Springer International Publishing Sep 2014, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover
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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal analysis methods aiming at a better understanding of movement processes (with a focus on data mining for movement patterns), and using decentralized spatial computing methods in movement analysis. The author presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing movement processes with methods from a range of fields including GIScience, spatiotemporal databases and data mining. Key challenges in Computational Movement Analysis include bridging the semantic gap, privacy issues when movement data involves people, incorporating big and open data, and opportunities for decentralized movement analysis arising from the internet of things. The interdisciplinary concepts of Computational Movement Analysis make this an important book for professionals and students in computer science, geographic information science and its application areas, especially movement ecology and transportation research. 104 pp. Englisch.

    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover
      • Print on Demand

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      Condition: New. Print on Demand pp. 108 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

    • Language: English

      Published by Springer, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover
      • Print on Demand

      Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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      Condition: New. PRINT ON DEMAND pp. 108.

    • Language: English

      Published by Palgrave Macmillan, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover
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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal analysis methods aiming at a better understanding of movement processes (with a focus on data mining for movement patterns), and using decentralized spatial computing methods in movement analysis. The author presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing movement processes with methods from a range of fields including GIScience, spatiotemporal databases and data mining. Key challenges in Computational Movement Analysis include bridging the semantic gap, privacy issues when movement data involves people, incorporating big and open data, and opportunities for decentralized movement analysis arising from the internet of things. The interdisciplinary concepts of Computational Movement Analysis make this an important book for professionals and students in computer science, geographic information science and its application areas, especially movement ecology and transportation research.

    • Language: English

      Published by Springer International Publishing, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover
      • Print on Demand

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      Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal ana.

    • Language: English

      Published by Springer, Palgrave Macmillan Sep 2014, 2014

      3319102672 / 9783319102672

      Series: Book 153 of 322 - SpringerBriefs in Computer Science

      • Softcover
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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal analysis methods aiming at a better understanding of movement processes (with a focus on data mining for movement patterns), and using decentralized spatial computing methods in movement analysis. The author presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing movement processes with methods from a range of fields including GIScience, spatiotemporal databases and data mining. Key challenges in Computational Movement Analysis include bridging the semantic gap, privacy issues when movement data involves people, incorporating big and open data, and opportunities for decentralized movement analysis arising from the internet of things. The interdisciplinary concepts of Computational Movement Analysis make this an important book for professionals and students in computer science, geographic information science and its application areas, especially movement ecology and transportation research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 104 pp. Englisch.