Exclusive Titles
E-Mail Password
Search Catalogue
 Advance Search | Help 
New User?  Sign Up May 25, 2019   4:32:30 AM  : 0 Item(s)  
Science & Technology
Reference - Science & Technology
Reference - Law
Reference - Medical
Social Science


Book Details

Science & Technology » Computer Science » Computational Science & Engineering

Data-Intensive Science

Title Details
Related Links

Data-Intensive Science

Authors :

Terence Critchlow



Publisher :

Taylor and Francis Books Limited U.K.

Imprint :

CRC Press

Cover Price :

£ 57.99

CD Included :


Pages :


Binding :


Publication Year :


Rating :


Data-Intensive Science

Table of 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

Data-Intensive Grand Challenge Science Problems
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

Case Studies
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

From Challenges to Solutions
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

* Fields are compulsory     Dates in mm/dd/yyyy

Powered by VRV Instasite, a "Site off the Shelf" solution, Designed & Developed By VRVirtual.com Pvt. Ltd