Measurement, selection, and visualization of association rules: A compositional data perspective: A Compositional Data perspective on Association Rules

Marina Vives-Mestres,Ron S. Kenett,Santiago Thió-Henestrosa,Josep Antoni Martín Fernández

Measurement, selection, and visualization of association rules: A compositional data perspective: A Compositional Data perspective on Association Rules

2021

Marina Vives-Mestres
Ron S. Kenett
Santiago Thió-Henestrosa
Josep Antoni Martín Fernández

This research has been supported by theSpanish Ministry of Economy, Industry and Competitiveness under the project CODAMET (Ref: RTI2018-095518-B-C21)

Keywords:

Selection (genetic algorithm)
Association rule learning
Compositional data
Perspective (graphical)
Computer science
Natural language processing
Visualization
Artificial intelligence

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