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View all- Muñoz MFuentes-Sepúlveda JHernández CNavarro GSeco DSilva-Coira F(2024)Clustering-based compression for raster time seriesThe Computer Journal10.1093/comjnl/bxae09068:1(32-46)Online publication date: 29-Sep-2024
High Utility Itemset Mining (HUIM) consists of identifying all sets of items (itemsets) that have a high utility (e.g. have a high profit) in a database of customer transactions. Important limitations of traditional HUIM algorithms is that they do ...
As an extended version of frequent itemset patterns, periodic itemset patterns concern both the frequency and periodicity of itemsets at the same time, so they contain more information than frequent itemset patterns, which only concern the ...
High Utility Itemset Mining (HUIM) is an important model with many real-world applications. Given a (non-binary) transactional database and an external utility database, the aim of HUIM is to discover all itemsets within the data that satisfy the ...
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