Scientific data analysis

Chandrika Kamath, Nikil Wale, George Karypis, Gaurav Pandey, Vipin Kumar, Krishna Rajan, Nagiza F. Samatova, Paul Breimyer, Guruprasad Kora, Chongle Pan, Srikanth Yoginath

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations


The analysis of data is a key part of any scientific endeavor, as it leads to a better understanding of the world around us. With scientific data now being measured in terabytes and petabytes, this analysis is becoming quite challenging. In addition, the complexity of the data is increasing as well due to several factors such as improved sensor technologies and increased computing power. This complexity can take various forms such as multisensor, multispectral, multiresolution data, spatio-temporal data, high-dimensional data, structured and unstructured mesh data from simulations, data contaminated with different types of noise, three-dimensional data, and so on.

Original languageEnglish (US)
Title of host publicationScientific Data Management
Subtitle of host publicationChallenges, Technology, and Deployment
PublisherCRC Press
Number of pages43
ISBN (Electronic)9781420069815
ISBN (Print)9781420069808
StatePublished - Jan 1 2009

Bibliographical note

Publisher Copyright:
© 2010 by Taylor and Francis Group, LLC.


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