O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior
Ano de defesa: | 2016 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | , , , , |
Tipo de documento: | Tese |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Nove de Julho
|
Programa de Pós-Graduação: |
Programa de P??s-Gradua????o em Administra????o
|
Departamento: |
Administra????o
|
País: |
Brasil
|
Palavras-chave em Português: | |
Palavras-chave em Inglês: | |
Área do conhecimento CNPq: | |
Link de acesso: | http://bibliotecatede.uninove.br/handle/tede/1517 |
Resumo: | Distance learning (DL) has a long history of success and failures, and has existed for at least since the end of the XVIII century. Higher education DL began in Brazil during 1994, having the expansion of the internet as the main factor. The search of innovations and new models related to the process of DL has become critical, both from the operational and strategic aspect. Regarding those challenges, the available information in patent databases can contrive add to, in an important manner, the design of DL strategies in higher education institutions (HIE), therefore, the thesis??? objective is: to analyze the employment of Knowledge Discovery in Database (KDD) in patent information and its main contributions to DL in HIE. The method employed was the KDD structure to discovery, analysis, selection, pre-processing, filtering, transformation, data mining, interpretation and assessment of patent information data from the European Patent Office???s (EPO) database, composed of 90 million documents. The data collection was based on a sample of patents acquired through enhanced search expressions, by the crawler software Patent2Netv.2. The data of 3.090 patents were analyzed by dynamic tables, network analysis, mindmaps, content analysis and clustering. The main results: (1) provided the diagnosis of patents related to DL in a global perspective; (2) developed a methodology for the use of KDD to analyze the content of DL patent information to HIE; (3) mapping of DL patents from HIE; and, ultimately, (4) assessment the use of patent information in order to formulate strategies on adopting DL in HIE, in the light of the Resouce-based View. |
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Maccari, Emerson Antoniohttp://lattes.cnpq.br/1320281388219996Serra, Fernando Antonio Ribeirohttp://lattes.cnpq.br/4170407039210695Maccari, Emerson Antoniohttp://lattes.cnpq.br/1320281388219996Kniess, Cl??udia Terezinhahttp://lattes.cnpq.br/8233265633962510Rodrigues, Leonel Cezarhttp://lattes.cnpq.br/9075295558587388Almeida, Martinho Isnard Ribeiro dehttp://lattes.cnpq.br/0660867439138362Riccio, Edson Luizhttp://lattes.cnpq.br/1540245792957136http://lattes.cnpq.br/2281909649311607Storopoli, Jos?? Eduardo2016-09-01T19:37:54Z2016-04-14Storopoli, Jos?? Eduardo. O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior. 2016. 194 f. Tese( Programa de P??s-Gradua????o em Administra????o) - Universidade Nove de Julho, S??o Paulo.http://bibliotecatede.uninove.br/handle/tede/1517Distance learning (DL) has a long history of success and failures, and has existed for at least since the end of the XVIII century. Higher education DL began in Brazil during 1994, having the expansion of the internet as the main factor. The search of innovations and new models related to the process of DL has become critical, both from the operational and strategic aspect. Regarding those challenges, the available information in patent databases can contrive add to, in an important manner, the design of DL strategies in higher education institutions (HIE), therefore, the thesis??? objective is: to analyze the employment of Knowledge Discovery in Database (KDD) in patent information and its main contributions to DL in HIE. The method employed was the KDD structure to discovery, analysis, selection, pre-processing, filtering, transformation, data mining, interpretation and assessment of patent information data from the European Patent Office???s (EPO) database, composed of 90 million documents. The data collection was based on a sample of patents acquired through enhanced search expressions, by the crawler software Patent2Netv.2. The data of 3.090 patents were analyzed by dynamic tables, network analysis, mindmaps, content analysis and clustering. The main results: (1) provided the diagnosis of patents related to DL in a global perspective; (2) developed a methodology for the use of KDD to analyze the content of DL patent information to HIE; (3) mapping of DL patents from HIE; and, ultimately, (4) assessment the use of patent information in order to formulate strategies on adopting DL in HIE, in the light of the Resouce-based View.O ensino a dist??ncia tem uma longa hist??ria de sucessos e fracassos, existe pelo menos desde o final do s??culo XVIII. O ensino superior a dist??ncia iniciou no Brasil em meados de 1994, tendo como principal fator a expans??o da internet. A busca de inova????es e novos modelos relacionados ao processo de ensino a dist??ncia (EAD) torna-se importante, tanto do aspecto operacional como estrat??gico. Face a estes desafios, as informa????es existentes nos bancos de dados de patentes podem contribuir de forma significativa para a defini????o de estrat??gias de EAD em institui????es de ensino superior (IES), portanto, o objetivo da tese foi analisar o uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias e suas poss??veis contribui????es para o EAD em IES. A metodologia utilizada foi a estrutura do KDD para explora????o, an??lise, sele????o, pr??-processamento, limpeza, transforma????o, data mining, interpreta????o e avalia????o de dados de informa????es patent??rias sobre EAD da base do European Patent Office (EPO) que possui aproximadamente 90 milh??es de documentos. A coleta dos dados utilizou-se o emprego de data mining por meio do software crawler Patent2Netv.2. A amostra de patentes adquiridas com o uso de aprimoradas express??es de busca resultou em 3.090 patentes, que foram analisadas por meio de tabelas din??micas, an??lises de rede, mapas mentais, an??lise de conte??do e clustering. Os principais resultados: (1) possibilitaram apresentar o diagn??stico sobre as patentes relacionadas a EAD no mundo; (2) o desenvolvimento de uma metodologia de uso do KDD para an??lise de conte??do de informa????es patentearias em EAD para IES; (3) o mapeamento das patentes em EAD em Universidades; e, finalmente, (4) a avalia????o do uso de informa????es patent??rias e sua utiliza????o na defini????o de estrat??gias de ado????o de EAD em IES, ?? luz do Vis??o Baseada em Recursos.Submitted by Nadir Basilio (nadirsb@uninove.br) on 2016-09-01T19:37:54Z No. of bitstreams: 1 Jos?? Eduardo Storopoli.pdf: 3248722 bytes, checksum: c6f49ec5728d3ca3b10f36aa03c94865 (MD5)Made available in DSpace on 2016-09-01T19:37:54Z (GMT). No. of bitstreams: 1 Jos?? Eduardo Storopoli.pdf: 3248722 bytes, checksum: c6f49ec5728d3ca3b10f36aa03c94865 (MD5) Previous issue date: 2016-04-14application/pdfporUniversidade Nove de JulhoPrograma de P??s-Gradua????o em Administra????oUNINOVEBrasilAdministra????oeduca????o a dist??nciaensino superiorpatentesestrat??giadistance learninghigher educationpatentsstrategyCIENCIAS SOCIAIS APLICADAS::ADMINISTRACAOO uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superiorinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis8024035432632778221600info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da Uninoveinstname:Universidade Nove de Julho (UNINOVE)instacron:UNINOVEORIGINALJos?? Eduardo Storopoli.pdfJos?? Eduardo Storopoli.pdfapplication/pdf3248722http://localhost:8080/tede/bitstream/tede/1517/2/Jos%C3%A9+Eduardo+Storopoli.pdfc6f49ec5728d3ca3b10f36aa03c94865MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://localhost:8080/tede/bitstream/tede/1517/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede/15172017-05-26 12:39:55.137oai:localhost: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Biblioteca Digital de Teses e Dissertaçõeshttp://bibliotecatede.uninove.br/PRIhttp://bibliotecatede.uninove.br/oai/requestbibliotecatede@uninove.br||bibliotecatede@uninove.bropendoar:2017-05-26T15:39:55Biblioteca Digital de Teses e Dissertações da Uninove - Universidade Nove de Julho (UNINOVE)false |
dc.title.por.fl_str_mv |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior |
title |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior |
spellingShingle |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior Storopoli, Jos?? Eduardo educa????o a dist??ncia ensino superior patentes estrat??gia distance learning higher education patents strategy CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO |
title_short |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior |
title_full |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior |
title_fullStr |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior |
title_full_unstemmed |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior |
title_sort |
O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior |
author |
Storopoli, Jos?? Eduardo |
author_facet |
Storopoli, Jos?? Eduardo |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Maccari, Emerson Antonio |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/1320281388219996 |
dc.contributor.advisor-co1.fl_str_mv |
Serra, Fernando Antonio Ribeiro |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/4170407039210695 |
dc.contributor.referee1.fl_str_mv |
Maccari, Emerson Antonio |
dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/1320281388219996 |
dc.contributor.referee2.fl_str_mv |
Kniess, Cl??udia Terezinha |
dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/8233265633962510 |
dc.contributor.referee3.fl_str_mv |
Rodrigues, Leonel Cezar |
dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/9075295558587388 |
dc.contributor.referee4.fl_str_mv |
Almeida, Martinho Isnard Ribeiro de |
dc.contributor.referee4Lattes.fl_str_mv |
http://lattes.cnpq.br/0660867439138362 |
dc.contributor.referee5.fl_str_mv |
Riccio, Edson Luiz |
dc.contributor.referee5Lattes.fl_str_mv |
http://lattes.cnpq.br/1540245792957136 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/2281909649311607 |
dc.contributor.author.fl_str_mv |
Storopoli, Jos?? Eduardo |
contributor_str_mv |
Maccari, Emerson Antonio Serra, Fernando Antonio Ribeiro Maccari, Emerson Antonio Kniess, Cl??udia Terezinha Rodrigues, Leonel Cezar Almeida, Martinho Isnard Ribeiro de Riccio, Edson Luiz |
dc.subject.por.fl_str_mv |
educa????o a dist??ncia ensino superior patentes estrat??gia |
topic |
educa????o a dist??ncia ensino superior patentes estrat??gia distance learning higher education patents strategy CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO |
dc.subject.eng.fl_str_mv |
distance learning higher education patents strategy |
dc.subject.cnpq.fl_str_mv |
CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO |
description |
Distance learning (DL) has a long history of success and failures, and has existed for at least since the end of the XVIII century. Higher education DL began in Brazil during 1994, having the expansion of the internet as the main factor. The search of innovations and new models related to the process of DL has become critical, both from the operational and strategic aspect. Regarding those challenges, the available information in patent databases can contrive add to, in an important manner, the design of DL strategies in higher education institutions (HIE), therefore, the thesis??? objective is: to analyze the employment of Knowledge Discovery in Database (KDD) in patent information and its main contributions to DL in HIE. The method employed was the KDD structure to discovery, analysis, selection, pre-processing, filtering, transformation, data mining, interpretation and assessment of patent information data from the European Patent Office???s (EPO) database, composed of 90 million documents. The data collection was based on a sample of patents acquired through enhanced search expressions, by the crawler software Patent2Netv.2. The data of 3.090 patents were analyzed by dynamic tables, network analysis, mindmaps, content analysis and clustering. The main results: (1) provided the diagnosis of patents related to DL in a global perspective; (2) developed a methodology for the use of KDD to analyze the content of DL patent information to HIE; (3) mapping of DL patents from HIE; and, ultimately, (4) assessment the use of patent information in order to formulate strategies on adopting DL in HIE, in the light of the Resouce-based View. |
publishDate |
2016 |
dc.date.accessioned.fl_str_mv |
2016-09-01T19:37:54Z |
dc.date.issued.fl_str_mv |
2016-04-14 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
Storopoli, Jos?? Eduardo. O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior. 2016. 194 f. Tese( Programa de P??s-Gradua????o em Administra????o) - Universidade Nove de Julho, S??o Paulo. |
dc.identifier.uri.fl_str_mv |
http://bibliotecatede.uninove.br/handle/tede/1517 |
identifier_str_mv |
Storopoli, Jos?? Eduardo. O uso do Knowledge Discovery in Database (KDD) de informa????es patent??rias sobre ensino a dist??ncia: contribui????es para institui????es de ensino superior. 2016. 194 f. Tese( Programa de P??s-Gradua????o em Administra????o) - Universidade Nove de Julho, S??o Paulo. |
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