Mining significant change patterns in multidimensional spaces

In this paper, we present a new OLAP Mining method for exploring interesting trend patterns. Our main goal is to mine the most (TOP-K) significant changes in Multidimensional Spaces (MDS) applying a gradient-based cubing strategy. The challenge is then finding maximum gradient regions, which maximis...

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Detalhes bibliográficos
Autor principal: Alves, Ronnie Cley Oliveira (author)
Outros Autores: Ribeiro, Joel (author), Belo, Orlando (author)
Formato: article
Idioma:eng
Publicado em: 2009
Assuntos:
Change analysis
Multidimensional data mining
Ranking cubes
Cube gradients
OLAP mining
e OLAP mining
Texto completo:http://hdl.handle.net/1822/54558
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/54558

Texto Completo

http://hdl.handle.net/1822/54558

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