Publicação
Unemployment similarities among portuguese regions - a cluster analysis approach
| Resumo: | The regional distribution of the unemployed individual characteristics is of core importance for the development of public policies that can fight the unemployment phenomenon, especially in times of crises. The data mining cluster methodology allows finding groups of regional areas that share the same characteristics for the register unemployed and, therefore, helps in a better understanding of the problem and possible solutions. Preliminary results for the Portuguese regions show a clear division of the territory among four regions – north and south and urban and rural areas of the country – concerning individual characteristics such the gender, age, education or unemployment duration. These results have policy consequences. |
|---|---|
| Autores principais: | Barros, Elisa |
| Outros Autores: | Nunes, Alcina |
| Assunto: | Cluster analysis Data mining Unemployment Portuguese regions |
| Ano: | 2010 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173247831769088 |
|---|---|
| author | Barros, Elisa |
| author2 | Nunes, Alcina |
| author2_role | author |
| author_facet | Barros, Elisa Nunes, Alcina |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Barros, Elisa\",\"Person.identifier.orcid\":\"0000-0001-8515-695X\"},{\"Person.name\":\"Nunes, Alcina\",\"Person.identifier.orcid\":\"0000-0003-4056-9747\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Barros, Elisa Nunes, Alcina |
| datacite.date.Accepted.fl_str_mv | 2010-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2011-05-02T14:30:54Z |
| datacite.date.embargoed.fl_str_mv | 2011-05-02T14:30:54Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Cluster analysis Data mining Unemployment Portuguese regions |
| datacite.titles.title.fl_str_mv | Unemployment similarities among portuguese regions - a cluster analysis approach |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Barros, Elisa Nunes, Alcina |
| dc.date.Accepted.fl_str_mv | 2010-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2011-05-02T14:30:54Z |
| dc.date.embargoed.fl_str_mv | 2011-05-02T14:30:54Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/4134 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Cluster analysis Data mining Unemployment Portuguese regions |
| dc.title.fl_str_mv | Unemployment similarities among portuguese regions - a cluster analysis approach |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_c94f |
| description | The regional distribution of the unemployed individual characteristics is of core importance for the development of public policies that can fight the unemployment phenomenon, especially in times of crises. The data mining cluster methodology allows finding groups of regional areas that share the same characteristics for the register unemployed and, therefore, helps in a better understanding of the problem and possible solutions. Preliminary results for the Portuguese regions show a clear division of the territory among four regions – north and south and urban and rural areas of the country – concerning individual characteristics such the gender, age, education or unemployment duration. These results have policy consequences. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/d3eba62f-f2d3-453b-8a45-b46f116c0d5c/download |
| id | ipb_2e679a33ad086d39bcc32af5cc6b89db |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/4134 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/4134 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Barros, Elisa Barros, Elisa http://orcid.org/0000-0001-8515-695X 0000-0001-8515-695X Nunes, Alcina Nunes, Alcina https://www.ciencia-id.pt/1111-680F-0CAF 1111-680F-0CAF http://orcid.org/0000-0003-4056-9747 0000-0003-4056-9747 |
| publishDate | 2010 |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engporThe regional distribution of the unemployed individual characteristics is of core importance for the development of public policies that can fight the unemployment phenomenon, especially in times of crises. The data mining cluster methodology allows finding groups of regional areas that share the same characteristics for the register unemployed and, therefore, helps in a better understanding of the problem and possible solutions. Preliminary results for the Portuguese regions show a clear division of the territory among four regions – north and south and urban and rural areas of the country – concerning individual characteristics such the gender, age, education or unemployment duration. These results have policy consequences.application/pdfporUnemployment similarities among portuguese regions - a cluster analysis approachPersonalBarros, ElisaDSpacehttp://dspace.org/items/29601d32-5c12-4b5f-84ec-55d83617d04eDSpacehttp://dspace.org/items/29601d32-5c12-4b5f-84ec-55d83617d04eBarrosElisaORCIDhttp://orcid.org0000-0001-8515-695XPersonalNunes, AlcinaDSpacehttp://dspace.org/items/f96c3560-c1d3-432c-aa84-49982ea86106DSpacehttp://dspace.org/items/f96c3560-c1d3-432c-aa84-49982ea86106NunesAlcinaCiência IDhttps://www.ciencia-id.pt1111-680F-0CAFORCIDhttp://orcid.org0000-0003-4056-9747Researcher IDhttps://www.researcherid.comM-8259-2013Scopus Author IDhttps://www.scopus.com55907654000HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2011-05-02T14:30:54Z20102010-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/4134http://purl.org/coar/access_right/c_abf2open accessCluster analysisData miningUnemploymentPortuguese regions95943 bytesother research producthttp://purl.org/coar/resource_type/c_c94fconference objecthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/d3eba62f-f2d3-453b-8a45-b46f116c0d5c/downloadBook of Abstracts of the 24th European Conference on Operational Research (EUROXXIV)294Lisboa, Portugal |
| spellingShingle | Unemployment similarities among portuguese regions - a cluster analysis approach Barros, Elisa Cluster analysis Data mining Unemployment Portuguese regions |
| status | SINGLETON |
| subject.fl_str_mv | Cluster analysis Data mining Unemployment Portuguese regions |
| title | Unemployment similarities among portuguese regions - a cluster analysis approach |
| title_full | Unemployment similarities among portuguese regions - a cluster analysis approach |
| title_fullStr | Unemployment similarities among portuguese regions - a cluster analysis approach |
| title_full_unstemmed | Unemployment similarities among portuguese regions - a cluster analysis approach |
| title_short | Unemployment similarities among portuguese regions - a cluster analysis approach |
| title_sort | Unemployment similarities among portuguese regions - a cluster analysis approach |
| topic | Cluster analysis Data mining Unemployment Portuguese regions |
| topic_facet | Cluster analysis Data mining Unemployment Portuguese regions |
| url | http://hdl.handle.net/10198/4134 |
| visible | 1 |