Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.2/3906
Título: Ramex : a sequence mining algorithm using poly-trees
Autor: Cavique, Luís
Palavras-chave: Pervasive business intelligence
Sequence mining
Data: 2015
Editora: Springer
Resumo: Sequence mining combines the discovery of frequent itemsets and the order they appear in. Most of the sequence pattern discovery techniques present some handicaps like the generation of a huge number of rules and the lack of scalability. In this work the proposed algorithm concerns the analysis of the whole rather than the parts, thus providing a holistic view of the sequences. The algorithm analyzes event logs and allows a non-expert user to understand the sequences using a poly-tree visualization. The scalability associated with condensed data structures, which shrink the data without losing information, allows dealing with the Big Data challenge. Ramex was implemented in different scenarios.
Peer review: yes
URI: http://hdl.handle.net/10400.2/3906
DOI: 10.1007/978-3-319-16528-8_14
Versão do Editor: http://link.springer.com/chapter/10.1007%2F978-3-319-16528-8_14#page-1
Aparece nas colecções:Ciências e Tecnologia - Capítulos/artigos em livros internacionais / Book chapters/papers in international books

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
1 Ramex 2015.pdf318,76 kBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.