Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces

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 challenge...

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Những tác giả chính:	Bennett, Janine, Vivodtzev, Fabien, Pascucci, Valerio
Định dạng:	Sách
Ngôn ngữ:	English
Được phát hành:	Springer 2015
Những chủ đề:	Visualization Mathematical analysis Topology
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58311
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spelling	oai:scholar.dlu.edu.vn:DLU123456789-583112023-11-11T06:08:47Z Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces Bennett, Janine Vivodtzev, Fabien Pascucci, Valerio Visualization Mathematical analysis Topology 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. 2015-09-16T01:30:37Z 2015-09-16T01:30:37Z 2015 Book 978-3-662-44900-4 978-3-662-44899-1 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58311 en application/pdf Springer
institution	Thư viện Trường Đại học Đà Lạt
collection	Thư viện số
language	English
topic	Visualization Mathematical analysis Topology
spellingShingle	Visualization Mathematical analysis Topology Bennett, Janine Vivodtzev, Fabien Pascucci, Valerio Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
description	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.
format	Book
author	Bennett, Janine Vivodtzev, Fabien Pascucci, Valerio
author_facet	Bennett, Janine Vivodtzev, Fabien Pascucci, Valerio
author_sort	Bennett, Janine
title	Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
title_short	Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
title_full	Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
title_fullStr	Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
title_full_unstemmed	Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
title_sort	topological and statistical methods for complex data tackling large-scale, high-dimensional, and multivariate data spaces
publisher	Springer
publishDate	2015
url	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58311
_version_	1819804737740996608

Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces

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