Exploratory data analysis leading towards the most interesting simple association rules

DOI10.1016/j.csda.2007.10.006zbMath1452.62051OpenAlexW2062842146MaRDI QIDQ1023665

Alfonso Iodice D'Enza, Francesco Palumbo, Michael J. Greenacre

Publication date: 12 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.10.006

zbMATH Keywords

association rulesbinary variablesmultidimensional data analysis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25)

Related Items (4)

Factor probabilistic distance clustering (FPDC): a new clustering method ⋮ Italian contributions on some recent research topics in cluster analysis ⋮ Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set ⋮ Editorial: Some recent trends in applied stochastic modeling and multidimensional data analysis

Cites Work

• Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set
• Correspondence Analysis in Practice
• Correspondence Analysis of Square Asymmetric Matrices
• Simple Methods for Analyzing Three-Factor Interaction in Contingency Tables
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