Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data: 29 (Studies in Big Data, 29) - Softcover
Book 25 of 95: Studies in Big Data
Synopsis
Develops analytical models for knowledge-related processes, from knowledge acquisition to knowledge processing and knowledge propagation
Provides various case studies explaining how the corresponding models can be used
Allows easier optimization and application by not depending on detailed numerical simulation
"synopsis" may belong to another edition of this title.
From the Back Cover
This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-to-use analytical models of knowledge-related processes and their applications.
The need for such methods stems from the fact that, when we have to decide where to place sensors, or which algorithm to use for processing the data―we mostly rely on experts’ opinions. As a result, the selected knowledge-related methods are often far from ideal. To make better selections, it is necessary to first create easy-to-use models of knowledge-related processes. This is especially important for big data, where traditional numerical methods are unsuitable.
The book offers a valuable guide for everyone interested in big data applications: students looking for an overview of related analytical techniques, practitioners interested in applying optimization techniques, and researchers seeking to improve and expand on these techniques.
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Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data
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Springer International Publishing Mai 2018, 2018
ISBN 10: 3319870580
ISBN 13: 9783319870588
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-to-use analytical models of knowledge-related processes and their applications. The need for such methods stems from the fact that, when we have to decide where to place sensors, or which algorithm to use for processing the data-we mostly rely on experts' opinions. As a result, the selected knowledge-related methods are often far from ideal. To make better selections, it is necessary to first create easy-to-use models of knowledge-related processes. This is especially important for big data, where traditional numerical methods are unsuitable. The book offers a valuable guide for everyone interested in big data applications: students looking for an overview of related analytical techniques, practitioners interested in applying optimization techniques, and researchers seeking to improve and expand on these techniques. 152 pp. Englisch. Seller Inventory # 9783319870588
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Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data
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Taschenbuch. Condition: Neu. Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data | L. Octavio Lerma (u. a.) | Taschenbuch | Studies in Big Data | viii | Englisch | 2018 | Springer | EAN 9783319870588 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 115378433
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Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data
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ISBN 13: 9783319870588
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Develops analytical models for knowledge-related processes, from knowledge acquisition to knowledge processing and knowledge propagationProvides various case studies explaining how the corresponding models can be usedAllows easier optimization and application by not depending on detailed numerical simulationSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch. Seller Inventory # 9783319870588
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data. Further, it presents easy-to-use analytical models of knowledge-related processes and their applications. The need for such methods stems from the fact that, when we have to decide where to place sensors, or which algorithm to use for processing the data-we mostly rely on experts' opinions. As a result, the selected knowledge-related methods are often far from ideal. To make better selections, it is necessary to first create easy-to-use models of knowledge-related processes. This is especially important for big data, where traditional numerical methods are unsuitable. The book offers a valuable guide for everyone interested in big data applications: students looking for an overview of related analytical techniques, practitioners interested in applying optimization techniques, and researchers seeking to improve and expand on these techniques. Seller Inventory # 9783319870588
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