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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Revaluation Books, Exeter, Regno Unito
EUR 151,78
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Aggiungi al carrelloPaperback. Condizione: Brand New. 232 pages. 9.50x7.75x0.50 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Elsevier Science & Technology, 2022
ISBN 10: 0323851975 ISBN 13: 9780323851978
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 167,93
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 171,50
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 185,64
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 207,77
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Da: moluna, Greven, Germania
EUR 193,59
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Aggiungi al carrelloCondizione: New. Provides an analysis of how conceptual spaces and related cognitive linguistic approaches can inspire programming and query-processing models Outlines the vital role that data modeling/curation has played in significant medical breakthroug.
Lingua: Inglese
Editore: Elsevier Science & Technology Jan 2022, 2022
ISBN 10: 0323851975 ISBN 13: 9780323851978
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 270,20
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosophical paradigms (e.g., linguistics and cognitive science). The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptual viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 132,57
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.