Overview

This 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 Details

Author:   Janine Bennett ,  Fabien Vivodtzev ,  Valerio Pascucci
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2015
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   4.803kg
ISBN:  

9783662513705

ISBN 10:   3662513706
Pages:   297
Publication Date:   20 August 2016
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 Contents

I. 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.

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