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Computational Discovery Scientific Knowledge Introduction by Dzeroski Saso Ljupco Todorovski (8 results)
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Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences (Lecture Notes in Computer Science, 4660)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 69.31
US$ 15.86 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Computational discovery of scientific knowledge : introduction, techniques, and applications in environmental and life sciences. (=Lecture notes in computer science ; Vol. 4660 : Lecture notes in artificial intelligence; State of the art survey).
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
Seller rating 5 out of 5 stars
Paperback. X, 326 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 605.
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Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences
Published by Springer-Verlag New York Inc, 2007
ISBN 10: 354073919X ISBN 13: 9783540739197
Language: English
Paperback. Condition: Brand New. 1st edition. 326 pages. 9.00x6.00x0.75 inches. In Stock.
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Computational Discovery of Scientific Knowledge : Introduction, Techniques, and Applications in Environmental and Life Sciences
Published by Springer Berlin Heidelberg, 2007
ISBN 10: 354073919X ISBN 13: 9783540739197
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. This state-of-the-art survey provides an introduction to computational approaches to the discovery of scientific knowledge and gives an overview of recent advances in this area, including techniques and applications in environmental and life sciences. The 15 articles presented are partly inspired by the contributions of the International Symposium on Computational Discovery of Communicable Knowledge, held in Stanford, CA, USA in March 2001. More representative coverage of recent research in computational scientific discovery is achieved by a significant number of additional invited contributions.
