Mining high utility itemsets without candidate generation

By Mengchi Liu, Jun-Feng Qu. International Conference on Information and Knowledge Management, 2012

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How researchers see this paper

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A Survey of Sequential Pattern Mining (2017, methodology): “Numerous extensions of the problem of itemset mining are similar to variations of the sequential pattern mining problem such as high-utility itemset mining [71, 36, 126], uncertain itemset mining [121, 49, 50], fuzzy itemset mining [16, 73], and stream itemset mining [12, 102].”
FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning (2014, methodology): “Recently, an alternative approach was proposed in the HUI-Miner algorithm [7] to mine high-utility itemsets directly using a single phase.”
SPMF: a Java open-source pattern mining library (2014, methodology): “SPMF offers both classical algorithms and recent state-of-the-art algorithms such as Hui-Miner (Liu et al., 2012), ClaSP (Gomariz et al., 2013) and RuleGrowth (Fournier-Viger et al., 2011).”