Daniel S. A. de Araujo

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 2

Top Topics

Behavior Patterns

Association Rule Mining

Data Mining Techniques

Customer Segmentation

Top Venues

Publications

Wellerson V. Oliveira, Daniel S. A. de Araujo, Leonardo C. T. Bezerra
Supermarket customer segmentation: a case study in a large Brazilian retail chain. CBI (1) (2022)
Bruno M. S. Wanderley, Daniel S. A. de Araujo, María V. Quiroga, André M. Amado, Adrião D. D. Neto, Hugo Sarmento, Sebastián D. Metz, Fernando Unrein
flowDiv: a new pipeline for analyzing flow cytometric diversity. BMC Bioinform. 20 (1) (2019)
Katti Faceli, Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, André Carlos Ponce de Leon Ferreira de Carvalho
Multi-objective clustering ensemble for gene expression data analysis. Neurocomputing 72 (13-15) (2009)
Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep
Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN (2008)
Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep
Clustering cancer gene expression data: a comparative study. BMC Bioinform. 9 (2008)
Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep
Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN (2008)
Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Bruno L. C. da Silva
Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. IJCNN (2006)
Shirlly C. M. Silva, Daniel S. A. de Araujo, Raul Benites Paradeda, Valmar S. Severiano-Sobrinho, Marcílio Carlos Pereira de Souto
Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data. Australian Conference on Artificial Intelligence (2005)