Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data (Studies in Big Data, 29, Band 29) - Hardcover

Buch 31 von 108: Studies in Big Data

Lerma, L. Octavio; Kreinovich, Vladik

 
9783319613482: Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data (Studies in Big Data, 29, Band 29)
Hardcover
ISBN 10: 3319613480 ISBN 13: 9783319613482
Verlag: Springer, 2017

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3319613480
ISBN 13 
9783319613482
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
149
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Darmstadt
64293
Deutschland

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9783319870588: Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data (Studies in Big Data, Band 29)

Vorgestellte Ausgabe

ISBN 10:  3319870580 ISBN 13:  9783319870588
Verlag: Springer, 2018
Softcover