International Journal of Business Intelligence and Data Mining (IJBIDM) Inderscience Publishers - linking academia, business and industry through research

International Journal of Business Intelligence and Data Mining

Special Issue on OLAP Intelligence: Meaningfully Coupling OLAP and Data Mining Tools and Algorithms

Guest Editor: Dr. Alfredo Cuzzocrea

Pages	Title and author(s)
219-241	Mining significant change patterns in multidimensional spaces Ronnie Alves, Joel Ribeiro, Orlando Belo DOI: 10.1504/IJBIDM.2009.029073
242-266	Mining convergent and divergent sequences in multidimensional data M. Plantevit, A. Laurent, M. Teisseire DOI: 10.1504/IJBIDM.2009.029074
267-300	Reduced representations of Emerging Cubes for OLAP database mining Sebastien Nedjar, Alain Casali, Rosine Cicchetti, Lotfi Lakhal DOI: 10.1504/IJBIDM.2009.029075
301-328	Fragmenting very large XML data warehouses via K-means clustering algorithm Alfredo Cuzzocrea, Jerome Darmont, Hadj Mahboubi DOI: 10.1504/IJBIDM.2009.029076
329-349	Embedded indicators to facilitate the exploration of a data cube Veronique Cariou, Jerome Cubille, Christian Derquenne, Sabine Goutier, Francoise Guisnel, Henri Klajnmic DOI: 10.1504/IJBIDM.2009.029083
350-374	A novel visualisation and interaction technique for exploring multidimensional data Lucio Ieronutti, Maurizio Pighin DOI: 10.1504/IJBIDM.2009.029084
Additional papers
375-390	ReliefMSS: a variation on a feature ranking ReliefF algorithm Salim Chikhi, Sadek Benhammada DOI: 10.1504/IJBIDM.2009.029085
391-415	Exact and inexact methods for solving the problem of view selection for aggregate queries Zohreh Asgharzadeh Talebi, Rada Chirkova, Yahya Fathi DOI: 10.1504/IJBIDM.2009.029086