No Cover Image

Conference Paper/Proceeding/Abstract 372 views 63 downloads

Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario

Tom Torsney-Weir Orcid Logo, Shahrzad Afroozeh, Michael Sedlmair, Torsten Möller

EuroVis Short Papers 2018, Pages: 119 - 123

Swansea University Author: Tom Torsney-Weir Orcid Logo

DOI (Published version): 10.2312/eurovisshort.20181089

Published in: EuroVis Short Papers 2018
ISBN: 978-3-03868-060-4
Published: 2018
Online Access: https://dl.acm.org/doi/10.5555/3290776.3290801
URI: https://cronfa.swan.ac.uk/Record/cronfa52235
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-10-02T14:22:45Z
last_indexed 2020-10-13T03:05:48Z
id cronfa52235
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-10-12T14:55:16.0172104</datestamp><bib-version>v2</bib-version><id>52235</id><entry>2019-10-02</entry><title>Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario</title><swanseaauthors><author><sid>6675d91d11195ef4c16eefd3fa316474</sid><ORCID>0000-0002-0329-2198</ORCID><firstname>Tom</firstname><surname>Torsney-Weir</surname><name>Tom Torsney-Weir</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-10-02</date><deptcode>SCS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>EuroVis Short Papers 2018</journal><paginationStart>119</paginationStart><paginationEnd>123</paginationEnd><publisher/><isbnElectronic>978-3-03868-060-4</isbnElectronic><keywords/><publishedDay>4</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-06-04</publishedDate><doi>10.2312/eurovisshort.20181089</doi><url>https://dl.acm.org/doi/10.5555/3290776.3290801</url><notes/><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-10-12T14:55:16.0172104</lastEdited><Created>2019-10-02T11:33:15.1422255</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Tom</firstname><surname>Torsney-Weir</surname><orcid>0000-0002-0329-2198</orcid><order>1</order></author><author><firstname>Shahrzad</firstname><surname>Afroozeh</surname><order>2</order></author><author><firstname>Michael</firstname><surname>Sedlmair</surname><order>3</order></author><author><firstname>Torsten</firstname><surname>M&#xF6;ller</surname><order>4</order></author></authors><documents><document><filename>0052235-02102019114856.pdf</filename><originalFilename>119-123.pdf</originalFilename><uploaded>2019-10-02T11:48:56.4970000</uploaded><type>Output</type><contentLength>356656</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-10-02T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2020-10-12T14:55:16.0172104 v2 52235 2019-10-02 Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario 6675d91d11195ef4c16eefd3fa316474 0000-0002-0329-2198 Tom Torsney-Weir Tom Torsney-Weir true false 2019-10-02 SCS Conference Paper/Proceeding/Abstract EuroVis Short Papers 2018 119 123 978-3-03868-060-4 4 6 2018 2018-06-04 10.2312/eurovisshort.20181089 https://dl.acm.org/doi/10.5555/3290776.3290801 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2020-10-12T14:55:16.0172104 2019-10-02T11:33:15.1422255 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Tom Torsney-Weir 0000-0002-0329-2198 1 Shahrzad Afroozeh 2 Michael Sedlmair 3 Torsten Möller 4 0052235-02102019114856.pdf 119-123.pdf 2019-10-02T11:48:56.4970000 Output 356656 application/pdf Version of Record true 2019-10-02T00:00:00.0000000 true eng
title Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
spellingShingle Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
Tom Torsney-Weir
title_short Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
title_full Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
title_fullStr Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
title_full_unstemmed Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
title_sort Risk Fixers and Sweet Spotters: a Study of the Different Approaches to Using Visual Sensitivity Analysis in an Investment Scenario
author_id_str_mv 6675d91d11195ef4c16eefd3fa316474
author_id_fullname_str_mv 6675d91d11195ef4c16eefd3fa316474_***_Tom Torsney-Weir
author Tom Torsney-Weir
author2 Tom Torsney-Weir
Shahrzad Afroozeh
Michael Sedlmair
Torsten Möller
format Conference Paper/Proceeding/Abstract
container_title EuroVis Short Papers 2018
container_start_page 119
publishDate 2018
institution Swansea University
isbn 978-3-03868-060-4
doi_str_mv 10.2312/eurovisshort.20181089
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://dl.acm.org/doi/10.5555/3290776.3290801
document_store_str 1
active_str 0
published_date 2018-06-04T04:04:29Z
_version_ 1763753349337841664
score 11.013731