16 resultados para text and data mining
Filtro por publicador
- JISC Information Environment Repository (1)
- Aberdeen University (6)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Archive On-line (Karlstad University; Sweden) (1)
- Academic Archive On-line (Mid Sweden University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (12)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (15)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (4)
- Archive of European Integration (7)
- Aston University Research Archive (29)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (13)
- Biodiversity Heritage Library, United States (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (27)
- Brock University, Canada (7)
- Bulgarian Digital Mathematics Library at IMI-BAS (12)
- CentAUR: Central Archive University of Reading - UK (106)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Cochin University of Science & Technology (CUSAT), India (14)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (5)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (24)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CUNY Academic Works (3)
- Dalarna University College Electronic Archive (12)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (6)
- Digital Commons @ Winthrop University (2)
- Digital Commons at Florida International University (27)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (4)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (32)
- DRUM (Digital Repository at the University of Maryland) (2)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Institute of Public Health in Ireland, Ireland (3)
- Instituto Politécnico do Porto, Portugal (34)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (2)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (10)
- Massachusetts Institute of Technology (4)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (1)
- Publishing Network for Geoscientific & Environmental Data (12)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (2)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (7)
- Repositório da Produção Científica e Intelectual da Unicamp (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (6)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (19)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (16)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (49)
- Universidad de Alicante (9)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (21)
- Universidade Complutense de Madrid (1)
- Universidade do Minho (25)
- Universidade dos Açores - Portugal (1)
- Universidade Metodista de São Paulo (3)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (12)
- Université de Lausanne, Switzerland (35)
- Université de Montréal, Canada (4)
- Université Laval Mémoires et thèses électroniques (2)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (82)
- University of Queensland eSpace - Australia (34)
- University of Southampton, United Kingdom (11)
- University of Washington (3)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
The interest in using information to improve the quality of living in large urban areas and its governance efficiency has been around for decades. Nevertheless, the improvements in Information and Communications Technology has sparked a new dynamic in academic research, usually under the umbrella term of Smart Cities. This concept of Smart City can probably be translated, in a simplified version, into cities that are lived, managed and developed in an information-saturated environment. While it makes perfect sense and we can easily foresee the benefits of such a concept, presently there are still several significant challenges that need to be tackled before we can materialize this vision. In this work we aim at providing a small contribution in this direction, which maximizes the relevancy of the available information resources. One of the most detailed and geographically relevant information resource available, for the study of cities, is the census, more specifically the data available at block level (Subsecção Estatística). In this work, we use Self-Organizing Maps (SOM) and the variant Geo-SOM to explore the block level data from the Portuguese census of Lisbon city, for the years of 2001 and 2011. We focus on gauging change, proposing ways that allow the comparison of the two time periods, which have two different underlying geographical bases. We proceed with the analysis of the data using different SOM variants, aiming at producing a two-fold portrait: one, of the evolution of Lisbon during the first decade of the XXI century, another, of how the census dataset and SOM’s can be used to produce an informational framework for the study of cities.