Parallel association rule mining based on FI-growth algorithm

Abstract

Association rule mining is one of the most important techniques in data mining. It extracts significant patterns from transaction databases and generates rules used in many decision support applications. Many organizations such as industrial, commercial, or even scientific sites may produce large amount of transactions and attributes. Mining effective rules… (More)
DOI: 10.1109/ICPADS.2007.4447743

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