IHUMN: an improved high-utility itemsets mining algorithm with negative utility items.
Huijiao WangJinghai WeiXin WangXing LiHua JiangPublished in: ACAI (2022)
Keyphrases
- high utility itemsets
- mining algorithm
- high utility
- pattern mining
- itemsets
- sequential pattern mining
- frequent patterns
- sequential patterns
- frequent itemsets
- association rules
- pruning strategy
- association rule mining
- anti monotone
- itemset mining
- tree structure
- frequent itemset mining
- minimum support
- frequent pattern mining
- mining frequent
- data mining algorithms
- frequent item sets
- candidate generation
- transaction databases
- multi dimensional
- knn