Data-intensive science / edited by Terence Critchlow, Kerstin Kleese van Dam.

Format
Book
Language
English
Published/​Created
  • Boca Raton : CRC Press, Taylor & Francis Group, [2013]
  • ©2013
Description
xvii, 420 pages, 8 unnumbered pages of plates : illustrations (some color) ; 25 cm.

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Harold P. Furth Plasma Physics Library - Stacks Q183.9 .D35 2013 Browse related items Request

    Details

    Subject(s)
    Series
    Chapman & Hall/CRC computational science series [More in this series]
    Notes
    "A Chapman & Hall book".
    Bibliographic references
    Includes bibliographical references and index.
    Contents
    • What is data-intensive science? / Terence Critchlow and Kerstin Kleese van Dam
    • Where does all the data come from? / Geoffrey Fox, Tony Hey, and Anne Trefethen
    • Large-scale microscopy imaging analytics for in silico biomedicine / Joel Saltz, Fusheng Wang, George Teodoro, Lee Cooper, Patrick Widener, Jun Kong, David Gutman, Tony Pan, Sharath Cholleti, Ashish Sharma, Daniel Brat, and Tahsin Kurc
    • Answering fundamental questions about the universe / Eric S. Myra and F. Douglas Swesty
    • Materials of the future: from business suits to space suits / Mark F. Horstemeyer
    • Earth system grid federation: infrastructure to support climate science analysis as an international collaboration: a data-driven activity for extreme-scale climate science / Dean N. Williams, Ian T. Foster, Bryan Lawrence, and Michael Lautenschlager
    • Data-intensive production grids / Bob Jones and Ian Bird
    • EUDAT: toward a pan-European collaborative data infrastructure / D. Lecarpentier, J. Reetz, and P. Wittenburg
    • Infrastructure for data-intensive science: a bottom-up approach / Eli Dart and William Johnston
    • A posteriori ontology engineering for data-driven science / Damian D.G. Gessler, Cliff Joslyn, and Karin Verspoor
    • Transforming data into the appropriate context / Bill Howe
    • Bridging the gap between scientific data producers and consumers: a provenance approach / Eric G. Stephan, Paulo Pinheiro, and Kerstin Kleese van Dam
    • In situ exploratory data analysis for scientific discovery / Kanchana Padmanabhan, Sriram Lakshminarasimhan, Zhenhuan Gong, John Jenkins, Neil Shah, Eric Schendel, Isha Arkatkar, Rob Ross, Scott Klasky, and Nagiza F. Samatova
    • interactive data exploration / Brian Summa, Attilay Gyulassy, Peer-Timo Bremer, and Valerio Pascucci
    • Linked science: interconnecting scientific assets / Tomi Kauppinen, Alkyoni Baglatzi, and Carsten Keßler
    • Summary and conclusions / Terence Critchlow and Kerstin Kleese van Dam.
    ISBN
    • 9781439881392 ((alk. paper))
    • 1439881391 ((alk. paper))
    LCCN
    2012048693
    OCLC
    724640142
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