ORACON: an adaptive model for contexts prediction
| Orientador(a) (dc.contributor.advisor) | Barbosa, Jorge Luis Victória | |
| Lattes Orientador(a) (dc.contributor.advisorLattes) | http://lattes.cnpq.br/6754464380129137 | pt_BR |
| Autor(a) (dc.contributor.author) | Rosa, João Henrique da | |
| Autor(a) Lattes (dc.contributor.authorLattes) | http://lattes.cnpq.br/4302601267376797 | pt_BR |
| Data de Disponibilização (dc.date.accessioned) | 2015-05-07T16:24:42Z | |
| dc.date.available (dc.date.available) | 2015-05-07T16:24:42Z | |
| Data da defesa / Data do evento (dc.date.issued) | 2013-02-28 | |
| Resumo (dc.description.resumo) | Contexts prediction has been receiving considerable attention in the last years. Furthermore, this area seems to be the next logical step in context-aware computing, which, until a few years ago, had been concerned more with the present and the past temporal dimensions. There are many works regarding models for contexts prediction. Nevertheless, most of them employ the same algorithm for all cases. In other words, we did not find any approach that automatically decides the best prediction method according to the situation. Therefore, we propose the ORACON model. ORACON adapts itself in order to apply the best algorithm to the case. Moreover, the model supports other important aspects of ubicomp, such as, context formal representation and privacy. In this thesis, we describe the ORACON design and evaluate the model through two experiments, one using real data and the other employing simulated information. | en |
| Agência de fomento (dc.description.sponsorship) | CNPQ – Conselho Nacional de Desenvolvimento Científico e Tecnológico | pt_BR |
| URI (dc.identifier.uri) | http://www.repositorio.jesuita.org.br/handle/UNISINOS/3458 | |
| Idioma (dc.language) | en | pt_BR |
| Nome da instituição (dc.publisher) | Universidade do Vale do Rio dos Sinos | pt_BR |
| País da Instituição (dc.publisher.country) | Brasil | pt_BR |
| Departamento (dc.publisher.department) | Escola Politécnica | pt_BR |
| Sigla da Instituição (dc.publisher.initials) | Unisinos | pt_BR |
| Programa (dc.publisher.program) | Programa de Pós-Graduação em Computação Aplicada | pt_BR |
| Direitos de acesso ao documento (dc.rights) | openAccess | pt_BR |
| Assunto (dc.subject) | Context-awareness | en |
| Assunto (dc.subject) | Contexts prediction | en |
| Assunto (dc.subject) | Prediction algorithms | en |
| Tema (CNPq) (dc.subject.cnpq) | ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação | pt_BR |
| Título (dc.title) | ORACON: an adaptive model for contexts prediction | en |
| Tipo de arquivo (dc.type) | Dissertação | pt_BR |
Arquivos
Pacote original
1 - 1 de 1
Carregando...
- Nome:
- João Henrique da Rosa.pdf
- Tamanho:
- 3.23 MB
- Formato:
- Adobe Portable Document Format
- Descrição:
- ORACON_adaptive
Licença do pacote
1 - 1 de 1
Carregando...
- Nome:
- license.txt
- Tamanho:
- 2.12 KB
- Formato:
- Item-specific license agreed upon to submission
- Descrição: