Identificando Locais Influentes Através de Palavras-Chave

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Silva, Felipe Pains Oliveira lattes
Orientador(a): Rocha Junior, João Batista da
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Estadual de Feira de Santana
Programa de Pós-Graduação: Mestrado em Computação Aplicada
Departamento: DEPARTAMENTO DE TECNOLOGIA
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://tede2.uefs.br:8080/handle/tede/887
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.