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OverviewThis book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data. The book presents new methods that leverage the mutual strengths of both topological and statistical techniques to support the management, analysis, and visualization of complex data. It covers both theory and application and provides readers with an overview of important key concepts and the latest research trends. Coverage in the book includes multi-variate and/or high-dimensional analysis techniques, feature-based statistical methods, combinatorial algorithms, scalable statistics algorithms, scalar and vector field topology, and multi-scale representations. In addition, the book details algorithms that are broadly applicable and can be used by application scientists to glean insight from a wide range of complex data sets. Full Product DetailsAuthor: Janine Bennett , Fabien Vivodtzev , Valerio PascucciPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2015 ed. Dimensions: Width: 15.50cm , Height: 1.90cm , Length: 23.50cm Weight: 5.974kg ISBN: 9783662448991ISBN 10: 3662448998 Pages: 297 Publication Date: 03 December 2014 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsI. Large-scale data analysis: In-situ and distributed analysis.- II. Large-scale data analysis: Efficient representation of large-functions.- III. Multi-variate data analysis: Structural techniques.- IV. Multi-variate data analysis: Classification and visualization of vector fields.- V. High-dimensional data analysis: Exploration of high-dimensional models.- VI. High-dimensional data analysis: Analysis of large systems.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |