Detalhes bibliográficos
Ano de defesa: |
2019 |
Autor(a) principal: |
Silva, Felipe Pains Oliveira
 |
Orientador(a): |
Rocha Junior, João Batista da |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Estadual de Feira de Santana
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Programa de Pós-Graduação: |
Mestrado em Computação Aplicada
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Departamento: |
DEPARTAMENTO DE TECNOLOGIA
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País: |
Brasil
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://tede2.uefs.br:8080/handle/tede/887
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Resumo: |
Spatial data or spatial objects are used by various applications such as Google Maps or Uber. These applications provide location services for users, such as: finding the nearest restaurant or driver. Similarly, the influential location query aims to find the best place for the installation of a new establishment, according to the weight of the objects in its vicinity. Weight is a constant predefined by applications, such as the number of stars or the number of people in a house. In this research, we study a new type of query where the weight of objects are defined taking into account a set of keywords defined by the user. Therefore, it is possible to select relevant neighbors based on user preference. In this research a new type of query is specified, new algorithms are presented to process this query efficiently and the algorithms proposed in real data sets have been evaluated. |