Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/41694
Título: | Towards a pervasive data mining engine: architecture overview |
Autor(es): | Peixoto, Rui Daniel Ferreira Portela, Filipe Santos, Manuel |
Palavras-chave: | Data mining Pervasive computing Data mining engine |
Data: | 2016 |
Editora: | Springer |
Revista: | Advances in Intelligent Systems and Computing |
Resumo(s): | Current data mining engines are difficult to use, requiring optimizations by data mining experts in order to provide optimal results. To solve this problem a new concept was devised, by maintaining the functionality of current data mining tools and adding pervasive characteristics such as invisibility and ubiquity which focus on their users, providing better ease of use and usefulness, by providing autonomous and intelligent data mining processes. This article introduces an architecture to implement a data mining engine, composed by four major components: database; Middleware (control); Middleware (processing); and interface. These components are interlinked but provide independent scaling, allowing for a system that adapts to the user’s needs. A prototype has been developed in order to test the architecture. The results are very promising and showed their functionality and the need for further improvements. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/41694 |
ISBN: | 978-3-319-31306-1 |
DOI: | 10.1007/978-3-319-31307-8_58 |
ISSN: | 2194-5357 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2016 - WorldCist - Data Mining Engine vfrf2.pdf | 432,72 kB | Adobe PDF | Ver/Abrir |