Intellectual property in colombian museums: an application of machine learning
The purpose of this research is to answer the following guiding question: how can the behavior of museum networks in Colombia be predicted with respect to the protection of intellectual property (copyright, confidential information and use of patents, domain names, industrial designs, use of tradema...
- Autores:
-
Lis-Gutiérrez, Jenny-Paola
Zerda Sarmiento, Alvaro
amelec, viloria
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5859
- Acceso en línea:
- http://hdl.handle.net/11323/5859
https://repositorio.cuc.edu.co/
- Palabra clave:
- Proximity
Intellectual property
Intellectual property management
Museum
Museum networks
Machine learning
- Rights
- openAccess
- License
- http://creativecommons.org/publicdomain/zero/1.0/
id |
RCUC2_f328f6c137c99d35f5b7c9eef5915cb7 |
---|---|
oai_identifier_str |
oai:repositorio.cuc.edu.co:11323/5859 |
network_acronym_str |
RCUC2 |
network_name_str |
REDICUC - Repositorio CUC |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Intellectual property in colombian museums: an application of machine learning |
title |
Intellectual property in colombian museums: an application of machine learning |
spellingShingle |
Intellectual property in colombian museums: an application of machine learning Proximity Intellectual property Intellectual property management Museum Museum networks Machine learning |
title_short |
Intellectual property in colombian museums: an application of machine learning |
title_full |
Intellectual property in colombian museums: an application of machine learning |
title_fullStr |
Intellectual property in colombian museums: an application of machine learning |
title_full_unstemmed |
Intellectual property in colombian museums: an application of machine learning |
title_sort |
Intellectual property in colombian museums: an application of machine learning |
dc.creator.fl_str_mv |
Lis-Gutiérrez, Jenny-Paola Zerda Sarmiento, Alvaro amelec, viloria |
dc.contributor.author.spa.fl_str_mv |
Lis-Gutiérrez, Jenny-Paola Zerda Sarmiento, Alvaro amelec, viloria |
dc.subject.spa.fl_str_mv |
Proximity Intellectual property Intellectual property management Museum Museum networks Machine learning |
topic |
Proximity Intellectual property Intellectual property management Museum Museum networks Machine learning |
description |
The purpose of this research is to answer the following guiding question: how can the behavior of museum networks in Colombia be predicted with respect to the protection of intellectual property (copyright, confidential information and use of patents, domain names, industrial designs, use of trademarks) and the interaction of different types of proximity (geographical, organizational, relational, cognitive, cultural and institutional), based on the use of supervised learning algorithms? Among the main findings are that the best learning algorithms to predict the behavior of networks, considering different target variables are the AdaBoost, the naive Bayes and CN2 rule inducer |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-01-17T19:31:07Z |
dc.date.available.none.fl_str_mv |
2020-01-17T19:31:07Z |
dc.type.spa.fl_str_mv |
Pre-Publicación |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_816b |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/preprint |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ARTOTR |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_816b |
status_str |
acceptedVersion |
dc.identifier.uri.spa.fl_str_mv |
http://hdl.handle.net/11323/5859 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
url |
http://hdl.handle.net/11323/5859 https://repositorio.cuc.edu.co/ |
identifier_str_mv |
Corporación Universidad de la Costa REDICUC - Repositorio CUC |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/publicdomain/zero/1.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.publisher.spa.fl_str_mv |
Universidad de la Costa |
institution |
Corporación Universidad de la Costa |
bitstream.url.fl_str_mv |
https://repositorio.cuc.edu.co/bitstream/11323/5859/4/INTELLECTUAL%20PROPERTY%20IN%20COLOMBIAN%20MUSEUMS%20AN%20APPLICATION%20OF%20MACHINE%20LEARNING.pdf https://repositorio.cuc.edu.co/bitstream/11323/5859/2/license_rdf https://repositorio.cuc.edu.co/bitstream/11323/5859/5/license.txt https://repositorio.cuc.edu.co/bitstream/11323/5859/7/INTELLECTUAL%20PROPERTY%20IN%20COLOMBIAN%20MUSEUMS%20AN%20APPLICATION%20OF%20MACHINE%20LEARNING.pdf.jpg https://repositorio.cuc.edu.co/bitstream/11323/5859/8/INTELLECTUAL%20PROPERTY%20IN%20COLOMBIAN%20MUSEUMS%20AN%20APPLICATION%20OF%20MACHINE%20LEARNING.pdf.txt |
bitstream.checksum.fl_str_mv |
c93638c3f2e0fbd8843a1e17b2e34b88 42fd4ad1e89814f5e4a476b409eb708c 8a4605be74aa9ea9d79846c1fba20a33 4508c797577a04ff3607df37a8600fc8 bbe27a3d37f40b2123dc535ba4193bf1 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Universidad de La Costa |
repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
_version_ |
1808400075178639360 |
spelling |
Lis-Gutiérrez, Jenny-Paola8abd881a36351a9658d2dc2105bbe79eZerda Sarmiento, Alvaro645a1240c787f954dcb9e2539a861a84amelec, viloria2f22a05451ff1bbfc2d4dd00035c952f2020-01-17T19:31:07Z2020-01-17T19:31:07Z2019http://hdl.handle.net/11323/5859Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The purpose of this research is to answer the following guiding question: how can the behavior of museum networks in Colombia be predicted with respect to the protection of intellectual property (copyright, confidential information and use of patents, domain names, industrial designs, use of trademarks) and the interaction of different types of proximity (geographical, organizational, relational, cognitive, cultural and institutional), based on the use of supervised learning algorithms? Among the main findings are that the best learning algorithms to predict the behavior of networks, considering different target variables are the AdaBoost, the naive Bayes and CN2 rule inducerengUniversidad de la Costahttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2ProximityIntellectual propertyIntellectual property managementMuseumMuseum networksMachine learningIntellectual property in colombian museums: an application of machine learningPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionORIGINALINTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdfINTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdfapplication/pdf6313https://repositorio.cuc.edu.co/bitstream/11323/5859/4/INTELLECTUAL%20PROPERTY%20IN%20COLOMBIAN%20MUSEUMS%20AN%20APPLICATION%20OF%20MACHINE%20LEARNING.pdfc93638c3f2e0fbd8843a1e17b2e34b88MD54open accessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstream/11323/5859/2/license_rdf42fd4ad1e89814f5e4a476b409eb708cMD52open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstream/11323/5859/5/license.txt8a4605be74aa9ea9d79846c1fba20a33MD55open accessTHUMBNAILINTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdf.jpgINTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdf.jpgimage/jpeg36832https://repositorio.cuc.edu.co/bitstream/11323/5859/7/INTELLECTUAL%20PROPERTY%20IN%20COLOMBIAN%20MUSEUMS%20AN%20APPLICATION%20OF%20MACHINE%20LEARNING.pdf.jpg4508c797577a04ff3607df37a8600fc8MD57open accessTEXTINTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdf.txtINTELLECTUAL PROPERTY IN COLOMBIAN MUSEUMS AN APPLICATION OF MACHINE LEARNING.pdf.txttext/plain990https://repositorio.cuc.edu.co/bitstream/11323/5859/8/INTELLECTUAL%20PROPERTY%20IN%20COLOMBIAN%20MUSEUMS%20AN%20APPLICATION%20OF%20MACHINE%20LEARNING.pdf.txtbbe27a3d37f40b2123dc535ba4193bf1MD58open access11323/5859oai:repositorio.cuc.edu.co:11323/58592023-12-14 13:05:28.567CC0 1.0 Universal|||http://creativecommons.org/publicdomain/zero/1.0/open accessRepositorio Universidad de La Costabdigital@metabiblioteca.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 |