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Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences

Posted on 2010-03-16




Name:Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences
ASIN/ISBN:354073919X
Language:English
File size:6.1 Mb
Publisher: Springer
ISBN: 354073919X
Publish Date: edition 2007
File Type: PDF
Pages: 327 pages
File Size: 6,1 mb
   Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences



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By Saso Dzeroski, Ljupco Todorovski


Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace. For the scientist and engineer to benefit from these enhanced data collecting capabilities, it is becoming clear that semi-automated data analysis techniques must be applied to find the useful information in the data. Computational scientific discovery methods can be used to this end: they focus on applying computational methods to automate scientific activities, such as finding laws from observational data. In contrast to mining scientific data, which focuses on building highly predictive models, computational scientific discovery puts a strong emphasis on discovering knowledge represented in formalisms used by scientists and engineers, such as numeric equations and reaction pathways.

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