Affiliation:
1. Vicomtech Foundation, Basque Research Technology Alliance (BRTA), Mikeletegi Pasealekua, 57, 20009 Donostia, Spain
Abstract
Similarly efficient feature groups occur in prediction procedures such as Olive phenology forecasting. This study proposes a procedure that can be used to extract the most representative feature grouping from Market Basket Analysis-derived methodologies and other techniques. The computed association patterns in this process are visualized through graph analytic tools, comparing centrality metrics and spacial distribution approaches. Finally, highlighted feature formations are located and analyzed within the efficiency distribution of all proposed feature combinations for validation purposes.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
1 articles.
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1. Unveiling Consumer Behavior Patterns: A Comprehensive Market Basket Analysis for Strategic Insights;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19