Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data

Autor: L. Octavio Lerma, Vladik Kreinovich

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

119.45 €

This book describes analytical techniques for optimizing knowledge acquisition, processing, and prop...

Informácie o knihe

Autor

L. Octavio Lerma, Vladik Kreinovich

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2017

Stránok

141

EAN

9783319613482

ISBN

3319613480

Enbook ID

16367367

Vydavateľ

Springer International Publishing AG

Hmotnosť

3554

Rozmery

155 x 235 x 15

Kompletný popis

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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