Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data: 29 (Studies in Big Data, 29) - Image 1

£84.17

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

Name: Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data: 29 (Studies in Big Data, 29)
Brand: Springer
Price: 84.17 GBP
Availability: InStock

Knowledge Management

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Description

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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319613480
Category: Books > Subjects > Business, Finance & Law > Management > Knowledge Management
Domain: Amazon UK
Release Date: 01 September 2017
Listed Since: 18 May 2017

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

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