Discovering High Utility Change Points in Customer Transaction Data.
Philippe Fournier-VigerYimin ZhangJerry Chun-Wei LinYun Sing KohPublished in: ADMA (2018)
Keyphrases
- transaction data
- itemsets
- high utility
- credit card
- customer transactions
- data mining
- association rules
- frequent itemsets
- outlier detection
- data mining techniques
- itemset mining
- fraud detection
- frequent patterns
- sequential pattern mining
- pattern mining
- mining association rules
- electronic commerce
- mining algorithm
- pruning strategy
- data mining applications
- sequential patterns
- data mining algorithms
- data structure
- association rule mining