Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50519
Título: | Adapting the user path through trajectory data mining |
Autor(es): | Ramos, João Ricardo Martins Analide, Cesar Neves, José Novais, Paulo |
Palavras-chave: | Trajectory Data Mining Frequent Patterns Sequence Mining Clustering |
Data: | 2017 |
Editora: | Springer |
Revista: | Advances in Intelligent Systems and Computing |
Citação: | Ramos J., César A., Neves J., Novais P., Adapting the User Path Through Trajectory Data Mining, Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2017), Springer - Advances in Intelligent Systems and Computing, Vol 615, ISSN 2194-5357, ISBN 9783319401133, pp 210-202, 2017. https://doi.org/10.1007/978-3-319-61118-1_24 |
Resumo(s): | The pervasiveness of location based services such the GPS on mobile devices enabled the gathering of massive spatial-temporal data. These databases enabled the mining of new data in order to calculate frequent patterns and predict the movement of the objects. In the development of our system for guiding the user with cognitive disabilities (CogHelper) we are applying a trajectory data mining to adapt and adjust the path to user preferences. Indeed, the guiding process may be more useful and it increases the quality of life of the user through this new functionality (conciliated with the speculative computation module). Thus, instead of the user having to adapt to the application we are developing a system that adapts the path to the user. Rather than being guided through the shortest path he may be oriented by a longer but preferred path. The main contribution of this paper is the specification of the trajectory data mining which is incorporated in CogHelper system. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/50519 |
ISBN: | 978-3-319-61117-4 |
DOI: | 10.1007/978-3-319-61118-1_24 |
ISSN: | 2194-5357 |
e-ISSN: | 978-3-319-61118-1 |
Versão da editora: | https://link.springer.com/chapter/10.1007%2F978-3-319-61118-1_24 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ISAMI 2017.pdf | 3,23 MB | Adobe PDF | Ver/Abrir |