Synopsis
Content and structure are based on the data-life cycle
Provides examples of data life-cycle management in various sub-disciplines of ecology Written by the leading experts in the fieldLes informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Professor Friedrich Recknagel completed a Master degree in Computer Science before he received his PhD in Applied Limnology from Dresden University of Technology, Germany. He is currently Professor at the School of Biological Sciences of the University of Adelaide, Australia with a research focus on quantitative aquatic ecology by means of deterministic and inferential modelling. Over the past 20 years he has pioneered applications of artificial neural networks and evolutionary algorithms for modelling eutrophication processes and algal blooms in freshwaters. Since 2006 he is editor-in-chief of the journal Ecological Informatics published by Elsevier. His publication record includes 4 books and 122 journal articles resulting in 2885 citations with an h-index 29 and an i10-index of 62 (Google Scholar).
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Ecological Informatics: Data Management and Knowledge Discovery
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Springer, 2017
ISBN 10 : 3319599267
ISBN 13 : 9783319599267
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Ecological Informatics: Data Management and Knowledge Discovery (eng)
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Ecological Informatics
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Springer International Publishing, 2017
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ISBN 13 : 9783319599267
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Professor Friedrich Recknagel completed a Master degree in Computer Science before he received his PhD in Applied Limnology from Dresden University of Technology, Germany. He is currently Professor at the School of Biological Sciences of the University of A. N° de réf. du vendeur 150706301
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Ecological Informatics
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Springer International Publishing Okt 2017, 2017
ISBN 10 : 3319599267
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Neuf
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Ecological Informatics (Hardcover)
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Ecological Informatics
ISBN 10 : 3319599267
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Ecological Informatics : Data Management and Knowledge Discovery
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Springer International Publishing, 2017
ISBN 10 : 3319599267
ISBN 13 : 9783319599267
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