0
Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence

Buy Now

Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data (Paperback, Softcover reprint of the original 1st ed. 2018) Loot Price: R3,653
Discovery Miles 36 530
Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and...

Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data (Paperback, Softcover reprint of the original 1st ed. 2018)

L. Octavio Lerma, Vladik Kreinovich

Series: Studies in Big Data, 29

 (sign in to rate)
Loot Price R3,653 Discovery Miles 36 530 | Repayment Terms: R342 pm x 12*

Bookmark and Share

Expected to ship within 10 - 15 working days

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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Studies in Big Data, 29
Release date: May 2018
First published: 2018
Authors: L. Octavio Lerma • Vladik Kreinovich
Dimensions: 235 x 155 x 8mm (L x W x T)
Format: Paperback
Pages: 141
Edition: Softcover reprint of the original 1st ed. 2018
ISBN-13: 978-3-319-87058-8
Categories: Books > Computing & IT > General theory of computing > General
Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > Information technology industries
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-319-87058-0
Barcode: 9783319870588

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners