License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.9.5.110
URN: urn:nbn:de:0030-drops-113832
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11383/
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Kerber, Michael ; Natarajan, Vijay ; Wang, Bei
Weitere Beteiligte (Hrsg. etc.): Michael Kerber and Vijay Natarajan and Bei Wang

Topology, Computation and Data Analysis (Dagstuhl Seminar 19212)

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dagrep_v009_i005_p110_19212.pdf (4 MB)


Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 19212 "Topology, Computation and Data Analysis". The seminar brought together researchers with mathematical and computational backgrounds in addressing emerging directions within computational topology for data analysis in practice. This seminar was designed to be a followup event after a very successful Dagstuhl Seminar (17292; July 2017). The list of topics and participants were updated to keep the discussions diverse, refreshing, and engaging. This seminar facilitated close interactions among the attendees with the aim of accelerating the convergence between mathematical and computational thinking in the development of theories and scalable algorithms for data analysis.

BibTeX - Entry

@Article{kerber_et_al:DR:2019:11383,
  author =	{Michael Kerber and Vijay Natarajan and Bei Wang},
  title =	{{Topology, Computation and Data Analysis (Dagstuhl Seminar 19212)}},
  pages =	{110--131},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{5},
  editor =	{Michael Kerber and Vijay Natarajan and Bei Wang},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11383},
  URN =		{urn:nbn:de:0030-drops-113832},
  doi =		{10.4230/DagRep.9.5.110},
  annote =	{Keywords: computational topology, topological data analysis, Topology based visualization}
}

Keywords: computational topology, topological data analysis, Topology based visualization
Collection: Dagstuhl Reports, Volume 9, Issue 5
Issue Date: 2019
Date of publication: 28.10.2019


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