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OverviewThis 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. Full Product DetailsAuthor: L. Octavio Lerma , Vladik KreinovichPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2018 Volume: 29 Dimensions: Width: 15.50cm , Height: 0.80cm , Length: 23.50cm Weight: 2.409kg ISBN: 9783319870588ISBN 10: 3319870580 Pages: 141 Publication Date: 12 May 2018 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Data Acquisition: Towards Optimal Use of Sensors.- Data and Knowledge Processing.- Knowledge Propagation and Resulting Knowledge Enhancement.- Knowledge Use.- Conclusions.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |